Our BI Reporting certification master’s program lets you gain proficiency in the top BI Reporting tools. This training includes the BI Reporting tools like QlikView, Spotfire, Tableau, Cognos, Cognos Insight, Pentaho, Jaspersoft, MicroStrategy, Hyperion, and SSRS. You will work on projects in data visualization, deploy dashboards, analytics, reports for deriving business insights, etc.
Self Paced Training
In this Intellipaat training, you will be able to make sense of disparate sets of data, work on data to slice it, dice it and analyze it, all to detect hidden patterns. You can get trained in data visualization techniques, work with interactive dashboards, generate reports, charts and graphs. Taking this all-in-one course that includes 11 Business Intelligence tools will equip you with all skills needed to be a complete BI professional.
The diverse range of Business Intelligence, Analytics, Reporting and Data Visualization tools included in this course will help you master every aspect of Business Intelligence process along with the ability to work in any industry domain. You will be proficient in integrating the results of the multiple Business Intelligence tools with other technologies to drive larger business goals of any organization ahead. Upon the completion of the training, you will be rightly in a position to clear the certification exams conducted by the requisite organization and command top salaries.
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Introduction to the concepts of Business Intelligence, learning about QlikView 12, the unique features of QlikView that make it the market leader, comparison to other BI tools, the complete overview and architecture of QlikView, studying the various file types and extensions.
Learning about the various QlikView products, understanding about the QlikView Desktop, Server, Access Point, Publisher, the Management Console and NPrinting reporting platform.
Hands-on Exercise – Practice QlikView Desktop, Server, Access Point, Publisher, the Management Console and NPrinting reporting platform.
Understanding the data warehouse architecture, the concept of dimensional model, fact tables and dimensions, learning about Star and Snow Flake schema, QlikView data model comparison to other data models, understanding the data source files.
Hands-on Exercise – Understanding the data warehouse architecture, the concept of dimensional model, fact tables and dimensions, learning about Star and Snow Flake schema, QlikView data model comparison to other data models, understanding the data source files.
Learning about loading data from various databases, generating script, loading of text files, delimited text files, loading data from multiple data sources, various types of data loads like incremental, binary, resident, buffer, preceding, mapping load types, understanding how to load inline table, generic tables, media content and image inclusion, web page data loading, semantic load, various examples to simplify the concepts.
Hands-on Exercise – Load data from a database, Generat script, Load a delimited text file, Load data from excel file, Load inline table, generic tables, media content,Include image, Load a web page data
Learning to create tabs in the scripts, debugging of scripts, inclusion of variables and comments in the scripts.
Hands-on Exercise – Create tabs in the scripts, debug a script, Include variables and comments in the scripts.
Understanding the basic data model of QlikView, learning to work with the Table Viewer, the System Table and System fields.
Hands-on Exercise – Work with the Table Viewer, the System Table and System fields.
Introduction to the various data relationships – Join, Concatenation, Join, and the different options available in each.
Hands-on Exercise – Use Join, Concatenation
The rules of data modeling in QlikView, introduction to circular references, synthetic key tables, resolving synthetic keys and circular references.
Hands-on Exercise – Resolve synthetic keys and circular references
Understanding what is QVD file in QlikView, the way to create QVD file, the standard structure of a QVD file, its various components, the various types and uses of QVD files, learning what is optimized and unoptimized load.
Hands-on Exercise – Create QVD file
Creating a master calendar in QlikView, extracting the highest and lowest data, deploying scripts to create variables, working with arbitrary date ranges.
Hands-on Exercise – Create a master calendar in QlikView, Extract the highest and lowest data, Deploy scripts to create variables, Work with arbitrary date ranges
Understanding the various concepts of QlikView security, defining the access controls, levels of access, maintaining the access control database, section access addition and other concepts.
Hands-on Exercise – Create the access controls rules, Create different levels of access, Access and Edit the access control database
The various types of null values in QlikView and the different methods to handling them.
Hands-on Exercise – Handle null values in QlikView
Working with QlikView sheets and sheet objects, learning about the sheet basics, cross tables, the data transformation in QlikView, transposing a physical table.
Hands-on Exercise – Perform a data transformation in QlikView, Transpose a physical table.
Understanding a list box, most basic sheet object, the various actions in List Box, its properties, the example of a list box.
Hands-on Exercise – Use a list box and assign actions to it
A sheet object that shows several fields simultaneously, learning to create a table box, sorting in table box, understanding table box formatting options, printing the data from table box, exporting to a text file.
Hands-on Exercise – Create a sheet object that shows several fields simultaneously, Create a table box, Sort data in table box, Format data in a table box, Print the data of table box, Export data to a text file.
Representation of value from multiple fields, learning to create a multibox, the various selection features, formatting and resizing of multiboxes.
Hands-on Exercise – Create a multibox, Select data using different criteria, Format and Resize a multiboxe
Working with text and button objects, learning to create them, formatting, resizing, copying and moving of text objects, understanding of action scripts in button and text objects.
Hands-on Exercise – Create text and button objects, Format, Resize, Copy and Move text objects, Run action scripts in button and text objects
Learning the basics of QlikView Charts, graphical representation of numerical data, various types of charts like bar, pie, grid, funnel, combo, learning to create charts, selections in charts and exporting of charts.
Hands-on Exercise – Plot charts like bar, pie, grid, funnel, combo, Make selections in charts and export charts
Introduction to multidimensional charts, setting up multiple expressions in straight table and pivot table, learning about straight table and pivot table, table box and deploying visual cues.
Hands-on Exercise – Plot multidimensional charts, Set up multiple expressions in straight table and pivot table, Deploy visual cues
Learning about Gauge Chart in QlikView, the various types of Gauges, understanding how to build Gauges, the various types of Gauge Charts.
Hands-on Exercise – Build Gauge chart in QlikView
Introduction to the other sheet objects like Statistics Box, Slider/Calendar Object, Current Selections Box, Bookmark Object, Container Object, and Input Box.
Hands-on Exercise – Create sheet objects like Statistics Box, Slider/Calendar Object, Current Selections Box, Bookmark Object, Container Object, and Input Box
The additional editing like settings of type legend, title, fast change chart type, text in chart and reference lines, caption settings and drilldown, cyclic functionality.
Hands-on Exercise – Set up type legend, title, captions
Learning about the various expressions like chart attribute, colour, working with calculated fields, labels, and dynamic text in text objects, calculated fields and dimensions in list boxes and charts.
Hands-on Exercise – Create chart attributes, Assign colour, Work with calculated fields,Create dynamic text in text objects
Learning about the settings menu in QlikView, the various options like user preferences, document properties and sheet properties.
Hands-on Exercise – Use settings menu in QlikView to set user preferences, document properties and sheet properties
The various QlikView functions like ApplyMap, Lookup, Previous, Value List, Interval Match, Class, Value Loop, Peek, Pick, Match, Wild Match, Statistical Functions,Range Functions, etc.
Hands-on Exercise – Use functions ApplyMap, Lookup, Previous, Value List, Interval Match, Class, Value Loop, Peek, Pick, Match, Wild Match, Statistical Functions,Range Functions
Learning about ad hoc report creation and editing, introduction to QlikView bookmarks, the various types of bookmarks, creating and managing bookmarks.
Hands-on Exercise – Create ad hoc report, Edit the report, Create and manage bookmarks
Understanding QlikView themes, creating, applying and working with dynamic themes.
Hands-on Exercise – Create, apply and work with dynamic themes
Learning about QlikView extensions, visualizing of data with extensions, creating a simple HTML extension, HTML table, working with interactive extensions and external libraries with extensions.
Hands-on Exercise – Use QlikView extension for data visualization, Create a simple HTML extension, Work with interactive extensions
Understanding set analysis, defining data values that are different from set definition, working with modifiers, identifiers, operators, example of expressions, indirect set analysis, YTD & MTD and rolling 12 months, various examples.
Hands-on Exercise – Work with modifiers, Identifiers, Operators, Expressions, Implement YTD & MTD and rolling 12 months
Understanding alternate states for performing comparative analysis on sets of multiple data items, working with market basket analysis, examples of various alternate states.
Hands-on Exercise – Perform comparative analysis on sets of multiple data items, Do market basket analysis
Understanding what-if analysis in QlikView, working on creating variables, slider objects, assigning variables to sheet and slider objects.
Hands-on Exercise – Do what-if analysis in QlikView
The process of installation, various types of licenses, types of CALS, learn to deploy the application on the server, working with server bookmarks, annotations.
Hands-on Exercise – Deploy an app on the server
Project 1 – QlikView Dashboard creation using 3 principles of DAR
Industry : General
Problem Statement: How to successfully build QlikView applications using DAR
Topics : This project involves understanding the concepts of the QlikView Dashboard, Analysis, Reporting (DAR) methodology to creating and building of QlikView applications. This way you can reuse your earlier QlikView Worksheets with minimal changes thus saving you time and effort. You will have hands-on experience in designing the Dashboard, creating Analysis Page and ultimately develop the QlikView Reports with DAR implementation. You will learn about the business overview, deploying user-driven controls for data filters and reporting of specific details in this QlikView Dashboard project.
Highlight :
Project 2 – Create a mini chart in QlikView application
Domain – Human Resource
Objective – To see the current values of salaries in one column and historical values in another cell in a mini chart that would contain a bar chart and a trend chart
Requirements :–
Project 3
Domain – Healthcare
Objective – Visual Mapping between Vaccination rate and Measles outbreak
The description of the dataset is mentioned below
Problem statement:
The basics of TIBCO Spotfire, data visualization and analytics software, various Spotfire features, Data Filtering, Data drill-down, data loading, data table format, statistical representation of data, Web Player for analytics report, importing data from Excel, data types, data visualization techniques, Spotfire Dashboard, working with Bar Charts.
Working with Data Tables, data sourcing, fetching data from databases, properties of Data Table, relations in data table and column matching, data table filters, settings and filter schemas, Calculated, Binned and Hierarchy Column creation.
Visualizing data to exploring, analyzing and discovering insights, understanding the concepts of Coloring, Trellis Visualization, bar chart, combination chart and line chart, working with Zoom Slider, and Cross-table Visualization, Column Selectors.
In-depth understanding of Spotfire visualization techniques, advanced color coding concepts, analyzing data, working with tags, lists, bars and data labels, understanding the various techniques of Pie Chart, Tree Map and Scatter Plot.
Importance of Spotfire Server for Deployment, Library and Information services, working with Spotfire Expressions, Labels, Charts, Schemas, understanding of Heat Map, Dendograms.
The scope of Spotfire Professional, data access, visualization and analysis, working with input filter, property control dialogue for changing settings in visualization, custom expressions, deploying Action control and Dynamic items, Spotfire Dashboard features, data filtering, filter schemas, analysis techniques like Box plot, Pareto chart and Combination chart.
Spotfire installation, administration and maintenance, deloying information designs and information links and joins, personalization, working with Web Player DXP, Spotfire authorization, authentication and security.
Map Visualization, Forcasting, Text Area Features, Upload and Store data to Library, Drag and Drop of Visualization, Application of Profiler.
Visual Appearance, Recommendations, Mark from Legend, Data Panel, Interacting Grouping of Categories, Data Connector, Data Profiler, Collaboration.
Project – IronPython
Data – Sales
Topics – This project is involved with creating IronPython script for Spotfire platform. You will start with the basics of implementing the IronPython scripting like importing classes for the visualization. In this sales project you will learn about the various operations and tools in IronPython scripting, creating data forms, collaboration platforms in Spotfire, framework for workflow, automating services all using the IronPython scripting.
What is data visualization?, comparison and benefits against reading raw numbers, real use cases from various business domains, some quick and powerful examples using Tableau without going into the technical details of Tableau, installing Tableau, Tableau interface, connecting to DataSource, Tableau data types, and data preparation.
Installation of Tableau Desktop, architecture of Tableau, interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.) how to start with Tableau, and the ways to share and export the work done in Tableau.
Hands-on Exercise: Play with Tableau desktop, learn about the interface, and share and export existing works.
Connection to Excel, cubes and PDFs, management of metadata and extracts, data preparation, Joins (Left, Right, Inner, and Outer) and Union, dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract , etc.
Hands-on Exercise: Connect to Excel sheet to import data, use metadata and extracts, manage NULL values, clean up data before using, perform the join techniques, execute data blending from multiple sources , etc.
Mark, highlight, sort, group, and use sets (creating and editing sets, IN/OUT, sets in hierarchies), constant sets, computed sets, bins, etc.
Hands-on Exercise: Use marks to create and edit sets, highlight the desired items, make groups, apply sorting on results, and make hierarchies among the created sets.
Filters (addition and removal), filtering continuous dates, dimensions, and measures, interactive filters, marks card, hierarchies, how to create folders in Tableau, sorting in Tableau, types of sorting, filtering in Tableau, types of filters, filtering the order of operations, etc.
Hands-on Exercise: Use the data set by date/dimensions/measures to add filter, use interactive filter to view the data, customize/remove filters to view the result, etc.
Using Formatting Pane to work with menu, fonts, alignments, settings, and copy-paste; formatting data using labels and tooltips, edit axes and annotations, k-means cluster analysis, trend and reference lines, visual analytics in Tableau, forecasting, confidence interval, reference lines, and bands.
Hands-on Exercise: Apply labels and tooltips to graphs, annotations, edit axes’ attributes, set the reference line, and perform k-means cluster analysis on the given dataset.
Working on coordinate points, plotting longitude and latitude, editing unrecognized locations, customizing geocoding, polygon maps, WMS: web mapping services, working on the background image, including add image, plotting points on images and generating coordinates from them; map visualization, custom territories, map box, WMS map; how to create map projects in Tableau, creating dual axes maps, and editing locations.
Hands-on Exercise: Plot longitude and latitude on a geo map, edit locations on the geo map, custom geocoding, use images of the map and plot points, find coordinates, create a polygon map, and use WMS.
Calculation syntax and functions in Tableau, various types of calculations, including Table, String, Date, Aggregate, Logic, and Number; LOD expressions, including concept and syntax; aggregation and replication with LOD expressions, nested LOD expressions; levels of details: fixed level, lower level, and higher level; quick table calculations, the creation of calculated fields, predefined calculations, and how to validate.
Creating parameters, parameters in calculations, using parameters with filters, column selection parameters, chart selection parameters, how to use parameters in the filter session, how to use parameters in calculated fields, how to use parameters in reference line, etc.
Hands-on Exercise: Creating new parameters to apply on a filter, passing parameters to filters to select columns, passing parameters to filters to select charts, etc.
Dual axes graphs, histograms: single and dual axes; box plot; charts: motion, Pareto, funnel, pie, bar, line, bubble, bullet, scatter, and waterfall charts; maps: tree and heat maps; market basket analysis (MBA), using Show me; and text table and highlighted table.
Hands-on Exercise: Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset and also perform market basket analysis (MBA) on the same dataset.
Building and formatting a dashboard using size, objects, views, filters, and legends; best practices for making creative as well as interactive dashboards using the actions; creating stories, including the intro of story points; creating as well as updating the story points, adding catchy visuals in stories, adding annotations with descriptions; dashboards and stories: what is dashboard?, highlight actions, URL actions, and filter actions, selecting and clearing values, best practices to create dashboards, dashboard examples; using Tableau workspace and Tableau interface; learning about Tableau joins, types of joins; Tableau field types, saving as well as publishing data source, live vs extract connection, and various file types.
Hands-on Exercise: Create a Tableau dashboard view, include legends, objects, and filters, make the dashboard interactive, and use visual effects, annotations, and description s to create and edit a story.
Introduction to Tableau Prep, how Tableau Prep helps quickly combine join, shape, and clean data for analysis, creation of smart examples with Tableau Prep, getting deeper insights into the data with great visual experience, making data preparation simpler and accessible, integrating Tableau Prep with Tableau analytical workflow, and understanding the seamless process from data preparation to analysis with Tableau Prep.
Introduction to R language, applications and use cases of R, deploying R on the Tableau platform, learning R functions in Tableau, and the integration of Tableau with Hadoop.
Hands-on Exercise: Deploy R on Tableau, create a line graph using R interface, and also connect Tableau with Hadoop to extract data.
Project 1: Working with Tableau Interactive Dashboard
Domain: Sales
Problem Statement: How to make an interactive dashboard with Tableau?
Description:
Upon the completion of this project, you will understand how to create a single point of access for all your sales data, ways of dissecting and analyzing sales from multiple angles, coming up with a sales strategy for improved business revenues.
Project 2: Tableau for Crime Statistics Analysis
Domain: Crime Statistics (Public Domain)
Problem Statement: Showing the types of crimes and their frequency in the District of Columbia and providing the details of the crimes
Description: Police authorities are often called on to “put more feet on the street” to prevent crime and ensure order. However, due to limited resources, it is almost impossible to use them anytime, anywhere. In this project, you will work on the crime data, in the District of Columbia and analyze it using the Tableau tool. During visualization, you can use ‘crime categories’ and ‘days of the week’ as data types to see when and where crimes have occurred. In this project, you will also analyze the details of the crimes, such as, the area/location and the day of the week it has happened, etc. This project will help the local police get insightful information on where to put their crime prevention efforts on.
Highlights:
Project 3: Analyzing Economic Data
Domain: Government
Problem Statement: How is unemployment affecting global malnutrition?
Description: In this Tableau project, you will be working on vast amounts of data and analyzing it to come up with trends, insights, and correlations. Datasets include the global unemployment figures for multiple years, world population statistics across several years, and the worldwide nutritional data. By analyzing this data, you will correlate the malnutrition problem with the unemployment rates using Tableau.
Highlights:
Project 4: Analyzing Market Performance
Domain: Retail
Problem Statement: Using the Consumer Packaged Goods data to analyze which are the markets that are performing well for a particular retail enterprise using Tableau Desktop
Description: This Tableau Desktop project involves working with the complex Consumer Packaged Goods data to come up with the brand performance analysis, regions that are contributing good to the revenues, where there is a need to offer more discounts to spur sales, and making in-depth budget vs spend analysis for any particular year.
Highlights:
Cognos BI and Analytics tool introduction, the detailed architecture of Cognos BI, the fundamentals of data warehousing, what is ETL, the different types of OLAP, what is a Cognos Framework Manager, what is DMR model, Architecture Cognos Analytics 11, how Cognos Analytics 11 enhances the User Interface, Advance Cognos Analytics 11 UI.
Introduction to building a query model for connecting with the report layout, how to deploy a query model for adding filters and reports, custom query creation through SQL statement editing, how to create reports by joining query results, based on relationship and other queries the process to combining data container.
Hands-on Exercise – You will build a query model and deploy it for addition of filters and reports, and then you edit the SQL statements for getting custom queries and then create reports by joining query results
Understanding the new UI features of Cognos 11, new navigation features, new search engine, the new unified user interface feature, three options for creating Cognos content viz. Report authoring, dashboard and data module, simplified administration pages and a complete modern look in Cognos Analytics 11.
Introduction to Cognos Analytics 11 Data Modules, creation of Data server connection, uploading of files datasets, intent driven modeling, navigation and calculations, using data modules to modulate data without using Framework Manager, understand how Cognos 11 is a huge step in data integration and modulation, data discovery through intent-based modeling, connecting to a data server, how to upload files, navigation and calculation, creating data modules with inputs from diverse set of data, other data modules, data servers, data sets, uploaded files.
The process of dashboarding in IBM Cognos, creating a dashboard by adding report content and tools, exploring the drill through feature, how to filter data in the dashboard, what is widget-to-widget communication, sorting, grouping and calculating data.
Introduction to IBM Cognos Framework Manager, learning about the workflow process, writing SQL queries, performing calculations, creating projects, applying filters and creation of Star Schema, the difference between various data models, importing of metadata, access control to metadata, merging of metadata, working with data sources, stored procedure query subjects, work with macros, setting governors, performance improvement, parameter map, session parameters, learn about multi-facet, multi-grain, and stitch queries.
Introduction to IBM Report Studio, understanding what is Report Authoring, creating reports using Report Studio, understanding Query Studio, various types of Reports, grouping, formatting, and sorting list Reports, aggregating data, multi-facet data and Report with repeated data, new Report Studio interface in Cognos 11, reporting functions and active reports, dashboard enhancement in Cognos Analytics 11, creating dashboard and drill through feature
Performing filtering, grouping and sorting of Reports, filtering to narrow focus of Report, Cross tab Reports, formatting and sorting Cross tab Reports, creating Charts, adding context to Charts.
Hands-on Exercise – Perform filtering, grouping and sorting of Reports, Perform filtering to narrow focus of Report, Create Cross tab Reports, Format and sort Cross tab Reports, Create Charts, add context to Charts
Learning about various Prompts on Reports, working with Prompts to focus data, searching Prompt items, customization, page navigation, displaying user Prompt selection, extending Report capabilities using calculation, creation of statistical calculations, statistical charts with Cognos Report Studio.
Hands-on Exercise – Use Prompts to focus data, Search Prompt items, Customizeand display user Prompt selection, Extend Report capabilities using calculation, Create statistical calculations, plot statistical charts with Cognos Report Studio
Reusing objects in the same Report, layout sharing between different Reports, working with various templates, handling Reports with no available data.Learning to customize Reports with showing, hiding and highlighting data, creating multilingual reports, rendering conditional objects, how to use the published Report in Cognos 11, drilling through the Report with Cognos Analytics 11, specifying run report options and properties of the entry, understanding the alerts and watch items.
Hands-on Exercise – Reuse objects in the same Report, Share same layout between different Reports, Use a template for reporting, Handle Reports with no available data, Customize Reports with showing, hiding and highlighting data, Create multilingual reports, Render conditional objects
Understanding the concept of Drill through, letting users find the data they want, comparing parameter-driven and dynamic drill through, drilling from one report to another, setting the scope of drill through, familiarizing with drill through assistant, enhancing report layout, combining data containers, formatting data and report objects.
Hands-on Exercise – Using Drill through, let users find the data they want, Use parameter-driven and dynamic drill through, Drill from one report to another, Set the scope of drill through, Enhance report layout, Format data and report objects
Introduction to advanced Cognos reporting, filtering reports on session parameters, navigating to specific location in report, navigating using table of contents, creating dynamic titles and headers, detailed learning of advanced report authoring, linking reports and displaying one report layer, editing SQL statements, distributing Report content to various users, creating Master-Detail Report, conditional formatting of Reports using variables, string and Boolean expressions, examining report specification and modifying it, deploying Java Scripts and HTML items for user interaction.
Hands-on Exercise – Apply filters on reports on session parameters, Navigate to specific location in report, Navigatie using table of contents, Create dynamic titles and headers, Link reports and display one report layer, Edit SQL statements, Distribute Report content to various users, create Master-Detail Report, Conditionally format Reports using variables, string and Boolean expressions, Modify a report specification, Deploy Java Scripts and HTML items for user interaction
Understanding the concept of report bursting, running a report once and dividing the results as per specific recipients, steps in report bursting, specifying burst groups, setting burst options and enabling bursting, creating burst keys and burst tables, rules of report bursting and formats supported for bursting.
Hands-on Exercise – Run a report once and divide the results as per specific recipients, Specify burst groups, Set burst options and enable bursting, Create burst keys and burst tables, Create Rules of report bursting
Learning about statistical reporting, creating statistical objects, adding cases and variables, integrating statistical objects with Cognos Report Studio, understanding descriptive statistics and statistical charts, analyzing using statistical reports and distributing results to users.
Hands-on Exercise – Create statistical objects, Add cases and variables, integrate statistical objects with Cognos Report Studio, Generate and analyze using statistical reports, Export results to users
Creating active reports using Cognos Report Studio, designing highly interactive reports, building report as per user needs, learning about the characteristics of Active Reports and deploying it to build easy to use reports, scheduling and bursting of Active Reports, understanding Active Report controls and variables.
Hands-on Exercise – Create active reports using Cognos Report Studio, Design interactive reports, Build a custom report, Schedule Active Reports
Introduction to dimensional data in reports, working with DMR and OLAP data sources in dimensional reporting, understanding dimensions, levels, hierarchies and members, learning about dimensional reporting methodology.
Hands-on Exercise – Generate dimensional reports from Cognos studio
Learning about focusing dimensional data in a cross tab, difference between relational and dimensional queries, various filtering techniques, filtering of dimensional queries based on dimensions, measures and members, learning how to use a tree prompt for dynamic filtering,Cognos Dimensional Functions, deploying it to create sets and tuples, working with OLAP queries to deploy arithmetic queries, characteristics of Cognos Dimensional Functions.
Hands-on Exercise – Focus on dimensional data in a cross tab, Write a dimensional query, Apply filters on dimensions, measures and members, Use a tree prompt for dynamic filtering, Deploy Cognos Dimensional Functions to create sets and tuples, Deploy arithmetic queries
Introduction to advanced drilling techniques, identifying the need for overriding the default drilling, deploying advancing drill down techniques, the various member sets and support functions for performing advanced drilling.
Hands-on Exercise – Deploy advanced drill down techniques using various member sets and support functions for performing advanced drilling
Introduction to Cognos Transformer, multi-dimensional data modeling component, defining OLAP Cube structures, building multi-dimensional analysis cubes, modeling the dimensions, customizing measures, the various components of transformers, the various categories and members, creating a model plan, relating transformer model to model plan, transformer data sources and data types, matching the business requirements.
Hands-on Exercise – Define an OLAP Cube structure, Build multi-dimensional analysis cubes, Model the dimensions, Customize measures, Create a model plan and relate transformer model to this model plan
Learning how to create PowerCubes, creating data source connection to PowerCube, publishing of Cube, optimizing PowerCube input and output, various factors affecting PowerCube building and deployment, partitioning of PowerCubes, benefits of partitioning, creating a partitioning strategy, time-based partitioning, comparing the automatic and manual partitioning, learning about multifile PowerCube.
Hands-on Exercise – Create PowerCube, Create data source connection to PowerCube, Optimize PowerCube input and output, Make partitions of PowerCubes, Create a partitioning strategy, Create time-based partitioning
Introduction to IBM Cognos Cube designer, building dynamic cubes, deploying and measuring the performance, working with star and snowflake data schema, in-memory relational OLAP functionality, benefits of Dynamic Cube, Cube Designer interface, aggregation in Dynamic Cubes, modelling a Virtual Cube and publishing with IBM Cognos Studios.
Hands-on Exercise – Build dynamic cube, Deploy dynamic cube and measure the performance, Create star and snowflake data schema, Model a Virtual Cube and publish with IBM Cognos Studios
Learning to perform Cognos Analysis in Excel, the various query settings for enhancing performance, working with Dynamic Query Analyzer, Cognos Workflow, administering IBM Cognos, understanding query service metrics, moving data from previous versions, managing and auditing the Cognos environment, enhancing the search, restricting scheduling options, disabling query service.
Hands-on Exercise – Perform Cognos Analysis in Excel, Configure query settings for enhancing performance, Work with Dynamic Query Analyzer, Create a Cognos Workflow, Restrict scheduling options, Disable query service
Cognos 11 self-service options, customizable UI, better search feature, automatically selecting the best visualization, quick report formatting and styling, simple drag-and-drop functions, web-based modeling, testing and validating the models, building quick interactive reports, geospatial analytics and customizing the analytics environment, improved administration capabilities, working with the Cognos Mobile, understanding the Cognos Mobile architecture, the various supported products, how to deploy Cognos Analytics for Excel.
Creating compelling stories with IBM Cognos Analytics 11, using various formats like slideshows, infographics, interactive stories, intent-based authoring, automatic visualizations, collecting assets, choosing formats and templates, organizing the story, using amination and timing.
Sales Dashboard
This project is involved with creating a sales dashboard for a specific company using the data available. You will learn to create a high-level graphical representation of a company’s vital performance indicators. As part of the project you will also learn to drill up and drill down data as per the specific company needs. Master the technique of navigating to various other tools like Cognos Report Studio, Cognos Query Studio, and Cognos Analysis Studio.
Employee Dashboard
This project is involved with creating an employee dashboard that can be helpful in extracting key insights and information about the employees in a particular organization. Learn to create multiple charts by joining multiple data sources into a single Cognos Report. You can easily drill down based on specific parameters in order to get insights that you are looking for. You will also master the technique of rearranging the various dimensions in a Report through the slicing and dicing multidimensional analysis technique.
Business Analytics: Basic concepts, Business Intelligence & Data Warehousing Concepts, Conceptual differences: RDBMS & Data warehousing, Benefits & advantages of Data warehousing
What is IBM Cognos Insight?, Why use IBM Cognos Insight?, Add data to your Workspace, Identify Data Terms, Explore the Workspace, Filter Content using Explore Points, Navigate and Explore Data
Import Data, Use Quick Import, Import from a File, Define Data for Mapping, Map the Cube, Map Dimensions and Measures, Import from Microsoft Excel, Import form a Relational ODBC Source, Data Source, Refresh Data, Import Inventory Data from a Relational Data Source
Analyze Data, Calculate Data in a Workspace, Create Custom Calculations, Undo Changes, Restructure Data, Change the Way Measures are Summarized, Add Calculations During an Import
Choose an effective Chart, Choose a Chart Type, Area Charts, Bar Charts, Column Charts, Line Charts, Pie Charts, Point Charts, Specify Chart Options
Add Contents using Widgets, Examine Widget Types, Modify Widget Bbehavior Organize your Workspace, Enhance Appearance with Themes
Format and Enter Data, Understand Data Entry Colors, Use Numeric and Text Data, Use Date, Use Pick Lists, Add Annotations, Enter data Quickly using Shortcuts, Data Entry Commands
To learn analytics further and orient your career in that direction, following are the recommended study areas –
Big Data & Analytics, Text/Content Analytics, Big Data Programming, Predictive Analytics and Data Modelling
Pentaho user console, Oveview of Pentaho Business Intelligence and Analytics tools, database dimensional modelling, using Star Schema for querying large data sets, understanding fact tables and dimensions tables, Snowflake Schema, principles of Slowly Changing Dimensions, knowledge of how high availability is supported for the DI server and BA server, managing Pentaho artifacts Knowledge of big data solution architectures
Hands-on Exercise – Schedule a report using user console, Create model using database dimensional modeling techniques, create a Star Schema for querying large data sets, Use fact tables and dimensions tables, manage Pentaho artifacts
Designing data models for reporting, Pentaho support for predictive analytics, Design a Streamlined Data Refinery (SDR) solution for a client
Hands-on Exercise – Design data models for reporting, Perform predictive analytics on a data set, design a Streamlined Data Refinery (SDR) solution for a dummy client
Understanding the basics of clustering in Pentaho Data Integration, creating a database connection, moving a CSV file input to table output and Microsoft Excel output, moving from Excel to data grid and log.
Hands-on Exercise – Create a database connection, move a csv file input to table output and Microsoft excel output, move data from excel to data grid and log
The Pentaho Data Integration Transformation steps, adding sequence, understanding calculator, Penthao number range, string replace, selecting field value, sorting and splitting rows, string operation, unique row and value mapper, Usage of metadata injection
Hands-on Exercise – Practice various steps to perform data integration transformation, add sequence, use calculator, work on number range, selecting field value, sorting and splitting rows, string operation, unique row and value mapper, use metadata injection
Working with secure socket command, Pentaho null value and error handling, Pentaho mail, row filter and priorities stream.
Hands-on Exercise – Work with secure socket command, Handle null values in the data, perform error handling, send email, get row filtered data, set stream priorities
Understanding Slowly Changing Dimensions, making ETL dynamic, dynamic transformation, creating folders, scripting, bulk loading, file management, working with Pentaho file transfer, Repository, XML, Utility and File encryption.
Hands-on Exercise – Make ETL dynamic transformation, create folders, write scripts, load bulk data, perform file management ops, work with Pentaho file transfer, XML utility and File encryption
Creating dynamic ETL, passing variable and value from job to transformation, deploying parameter with transformation, importance of Repository in Pentaho, database connection, environmental variable and repository import.
Hands-on Exercise – Create dynamic ETL, pass variable and value from job to transformation, deploy parameter with transformation, connect to a database, set pentaho environmental variables, import a repository in the pentaho workspace
Working with Pentaho dashboard and Report, effect of row bending, designing a report, working with Pentaho Server, creation of line, bar and pie chart in Pentaho, How to achieve localization in reports
Hands-on Exercise – Create Pentaho dashboard and report, check effect of row bending, design a report, work with Pentaho Server, create line, bar and pie chart in Pentaho, Implement localization in a report
Working with Pentaho Dashboard, passing parameters in Report and Dashboard, drill-down of Report, deploying Cubes for report creation, working with Excel sheet, Pentaho data integration for report creation.
Hands-on Exercise – Pass parameters in Report and Dashboard, deploy Cubes for report creation, drill-down in report to understand the entries, import data from an excel sheet, Perform data integration for report creation
What is a Cube? Creation and benefit of Cube, working with Cube, Report and Dashboard creation with Cube.
Hands-on Exercise – Create a Cube, create report and dashboard with Cube
Understanding the basics of Multi Dimensional Expression (MDX), basics of MDX, understanding Tuple, its implicit dimensions, MDX sets, level, members, dimensions referencing, hierarchical navigation, and meta data.
Hands-on Exercise – Work with MDX, Use MDX sets, level, members, dimensions referencing, hierarchical navigation, and meta data
Pentaho analytics for discovering, blending various data types and sizes, including advanced analytics for visualizing data across multiple dimensions, extending Analyzer functionality, embedding BA server reports, Pentaho REST APIs
Hands-on Exercise – Blend various data types and sizes, Perform advanced analytics for visualizing data across multiple dimensions, Embed BA server report
Knowledge of the PDI steps used to create an ETL job, Describing the PDI / Kettle steps to create an ETL transformation, Describing the use of property files
Hands-on Exercise – Create an ETL transformation using PDI / Kettle steps, Use property files
Deploying ETL capabilities for working on the Hadoop ecosystem, integrating with HDFS and moving data from local file to distributed file system, deploying Apache Hive, designing MapReduce jobs, complete Hadoop integration with ETL tool.
Hands-on Exercise – Deploy ETL capabilities for working on the Hadoop ecosystem, Integrate with HDFS and move data from local file to distributed file system, deploy Apache Hive, design MapReduce jobs
Creating interactive dashboards for visualizing highly graphical representation of data for improving key business performance.
Hands-on Exercise – Create interactive dashboards for visualizing graphical representation of data
Managing BA server logging, tuning Pentaho reports, monitoring the performance of a job or a transformation, Auditing in Pentaho
Hands-on Exercise – Manage logging in BA server, Fine tune Pentaho report, Monitor the performance of an ETL job
Integrating user security with other enterprise systems, Extending BA server content security, Securing data, Pentaho’s support for multi-tenancy, Using Kerberos with Pentaho
Hands-on Exercise – Configure security settings to implement high level security
Project 1– Pentaho Interactive Report
Data– Sales, Customer, Product
Objective – In this Pentaho project you will be exclusively working on creating Pentaho interactive reports for sales, customer and product data fields. As part of the project you will learn to create a data source, build a Mondrian cube which is represented in an XML file. You will gain advanced experience in managing data sources, building and formatting Pentaho report, change the report template and scheduling of reports.
Project 2– Pentaho Interactive Report
Domain– Retail
Objective – Build complex dashboard with drill down reports and charts for analysing business trends.
Project 3– Pentaho Interactive Report
Domain– BI
Objective – To do automation testing in ETL environment, Check the correctness of data transformation, Data loading in datawarehouse without any loss or truncation, Rejecting, Replacing and Reporting invalid data, Creation of unit tests to target exceptions
Introduction to Architecture of Jaspersoft Business Intelligence, JasperReports Server and Report Lifecycle, installation of Jaspersoft and iReport creation.
Understanding the iReport Designer, navigation in iReport and learning to create bar charts, line charts and expressions.
A truly integrated self-service reporting, CA Clarity PPM Reporting, working with interactive reports, combination charts, passing parameters in report, working with sub-reports.
Customizing the Jaspersoft branding, changing the login page, rebranding with SiteMesh Decorators, customizing web interface, understanding Bundles, Logs and Lib.
JasperReports Server, standalone and embeddable reporting server, deploying Reporting and Analytics, navigating in JasperServer and learning about Parameters.
Understanding ad hoc reports in JasperServer, the concepts of Domains and Topics, creation of and deployment of subreports, dashboard creation, administration of Domains and Topics, auto scheduling of Reports and sharing.
Introduction to Jaspersoft Studio, the Studio user interface, working with Jaspersoft Reports using Expressions, Objects, Variables, Parameters and Bands.
Grouping of data in Jaspersoft Report using bands, working with Table component, cross tab component and subreports.
Understanding Jaspersoft Datasource, creation of charts, graphs, evaluation time and subreports, working with Jaspersoft Studio.
The various components of Jaspersoft Reports like Report books, table of contents, image and break components, topics, domains, input and filter controls.
Advanced features of Jaspersoft Reports, working with advanced Excel and PDF properties, learning about hyperlinking and Drill-down Reports.
Deploying Styles in Jasper Reports, various types of Style features, learning about standalone style export, alternate color banding and markup HTML styled field.
Introduction to Jaspersoft Scriptlets, interface between Jasper Reports and Java, the prerequisites to run Scriptlets, the customization benefits of Scriptlets, Reporting flexibility with user-defined functions, step by step demonstration of deploying Scriptlets.
Customization of JFreeCharts, chart customizer classes, resource bundle internationalization, working with Maps and Barcodes.
Understanding Datasource, various input data to JasperReports engine, introduction to JR Datasource, custom JR Datasource, learning about Java bean Datasource and JR Datasource provider.
Detailed understanding of Jaspersoft Server, Jaspersoft UI features, connecting with Jaspersoft Studio, publishing and updating Report on Jaspersoft Server.
Learning how to add Reports to JasperServer, working with the cascading parameters, drilling down Reports and scheduling of Reports.
Introduction to Dynamic Jasper API, hiding complexities of JasperReports, linking of Java with Jaspersoft, working with Custom Visualization Element, enabling mail subscription, customization of JasperServer UI.
Introduction to Jaspersoft dashboard, building of interactive dashboard, importing/exporting from/to JasperServer, various features of Jaspersoft dashboard, exporting of dashboard, various Parameters in JasperServer.
Introduction to Jaspersoft Ad hoc Editor, creating and editing an Ad hoc View, analyzing data from Topic, Domain or OLAP Datasource, deploying content for Reports using Ad hoc Editor.
Creation of OLAP Cubes in JasperReports Server, understanding the multi-tenancy architecture, the distinction between MOLAP, HOLAP, and ROLAP, learning about the BI application lifecycle.
Improving the performance of Jaspersoft applications, measuring of ad hoc performance, various methods of performance tuning.
Introduction to MicroStrategy Business Intelligence tool, the various capabilities of MicroStrategy in data discovery, advanced analytics, enterprise reporting and dashboard functionality, detailed knowledge of installation of MicroStrategy.
Understand in detail about the Data Warehousing and Business Intelligence architecture, data sources, ETL process, loading data in EDW and data marts.
Learning how BI capability various at different levels, operational, adhoc and dashboard needs and solutions offered like grids and graphs.
Progression in analytical methods, various types models like summarization, trends, benchmarking, comparative analysis, optimization and predictions.
A detailed architecture of MicroStrategy including tools and services, data assets, schemas, metadata, public objects and information delivered via web, desktop and mobile.
MicroStrategy data flow architecture, the various types of setup like on-premise, cloud and mobile, understanding the need for data containers, customization using SDK, security for backend data containers and other offerings.
Learning about the various backend data support that MicroStrategy offers, seamless integration with relational databases and unstructured data storage.
Learning about the basic components and elements of schema, facts and dimensions, analyzing data and quantifying business elements.
Understanding about measures and metrics in a data warehouse schema.
Hands-on Exercise – Use measures and metrics in a data warehouse schema
The MicroStrategy foundation of logical data model and schema, its role in data warehouse and business intelligence, clear understanding of Star Schema, working with Facts and Dimensions Tables.
Hands-on Exercise – Create a Star Schema, Work with Facts and Dimensions Tables
Creation of Project Source in MicroStrategy, connecting with metadata database, detailed learning of MicroStrategy project, the first step to creating public and schema objects.
Hands-on Exercise – Create a Project Source in MicroStrategy, Connect with metadata database, Create public and schema objects
The significance of architect for the projects, a detailed demo of working with Architect for project, and creation of schema objects like Facts and Attributes.
Hands-on Exercise – creation of schema objects like Facts and Attributes.
Understanding how to create schema objects, data warehouse catalog, schema tables, creation and editing of Attributes and Facts, Schema update and its need.
Hands-on Exercise – Create schema objects, Use data warehouse catalog, Create schema tables, Create and edit of Attributes and Facts, Update a Schema
Learning about the need for creating folders, Attributes organization, getting a structured view of Facts and Attributes, mapping of Attributes depending on the folder in which they are located, defining navigation path using hierarchies and steps to creating hierarchies.
Hands-on Exercise – Creating folders, Organize Attributes, Get a structured view of Facts and Attributes, Map attributes depending on the folder in which they are located, Create hierarchies, Navigate to different places using hierarchies
Creation of basic metrics and level metrics, defining metrics using filters, studying the metrics generated by SQL when working with level dimensionality, detailed step by step process to create metrics.
Hands-on Exercise – Create basic metrics and level metrics, define metrics using filters
Learning about the step by step process for creating filters and the different options in creating filters.
Hands-on Exercise – Create filters and use different available options to change the filters
Understanding the different ways of creation of Prompts and its various uses.
Hands-on Exercise – Create different types of Prompts and use them
Learning how to create Search Objects, the usage of Search Objects in Prompts and
Hands-on Exercise – Create Search Objects, Use search objects in Prompts
The method to creating Consolidation Objects, the significance of them, learning through detailed demonstration, understanding the difference between Consolidation and Custom Groups (Doesn’t belong here. This line is present in Custom Groups also)
Hands-on Exercise – Create Consolidation Objects
Learning how to create Custom Groups and their distinction from Consolidation Objects, Custom Groups are a consequence of SQL queries and Consolidation Objects are functions of analytical engine, a detailed demonstration of steps needed for SQL query generation in Custom Groups.
Hands-on Exercise – Create Custom Groups, Generate SQL query in Custom Groups
Understanding Drill Maps creations, its significance, role of hierarchies in drill navigation, detailed demonstration of Drill Maps and Navigation.
Hands-on Exercise – Create a Drill Map, Use a map for analysis
Understanding partitioning, various type of data partitioning like homogenous and heterogeneous mapping, metadata and warehouse partitioning, a detailed demonstration of creating partition mapping in MicroStrategy.
Hands-on Exercise – Create a partition mapping in MicroStrategy
Clear understanding of how to create Reports using MicroStrategy Developer/Desktop, executing the Report, the various View types like Design, SQL and Grid, deploying View Filters and Report Editor, learning to work with Reports like creating and using Filters, Prompts, Sorts, Drill-down and Format.
Hands-on Exercise – Create and executing a Report command, Create a design view, Use a Grid view, Deploy View Filters and Report Editor, Create Reports by using using Filters, Prompts, Sorts, Drill-down and Format
Understanding the MicroStrategy Web Interface, learning about folder structure, Report deployment and other features.
Hands-on Exercise – Practice on MicroStrategy Web Interface, Deploy a Report generation
Learning about the MicroStrategy Dashboard created using Web Interface, importance of Visual Insight for Self-service Business Intelligence, creating dashboards on web in production environment.
Hands-on Exercise – Create a Dashboard using Web Interface
Understanding the MicroStrategy Intelligence Server, the various components like OLAP and Reporting, Distribution and Transaction Services, Clustering and Multisourcing, learning about the two tier and three tier architecture.
Hands-on Exercise – Use MicroStrategy Intelligence Server, Use Reporting, Distribution and Transaction Services, Make Cluster
Project– MicroStrategy Report
Data – Revenue Dataset
In this project you will be creating a complex MicroStrategy report based on the revenue dataset of a business organization. You will gain hands-on experience in working with schema objects, public objects, creation of dashboard and web interface. Learn to dice and slice the data using flexible reporting capabilities based on OLAP functionalities. The goal of the project is to predict the revenue using MicroStrategy Reports for particular country, call center, and category of product.
Introduction to Oracle EPM, Hyperion system 11 Components, BI+ Three Tier architecture, Client/Server Reporting Architecture, BI+ Interfaces (Plug In/HTML,etc.), Hyperion IR Core Services, DAS & LCM Utility, Typical IR Env Architecture, Report Process Flow
IR Overview (What is BQY& OCE), Relational Data Source Connections, MDDB Data Source Connections, Difference Between Relational & Multidimensional Reporting Tools, Open Catalog Extension Building, Tnsnames Ora file integration, Oracle/Oracle Net Features, ODBC & DSN Concepts, Filtering Table/Owner/Table Type, OCE Optimization & Best Practices, Modifying the OCE from Connection Manager
Building a Query, Different Join Types, Request/Filter & Sort Line (Query & result level), Adding Computed Items (Query & result level), Available/Custom/Selected Values in Filter, Custom SQL in filter, Loading filter values from flat files, Variable & Cascading Filters, Group by & Having Clause in Query Section, Export & Import Options, Break Total/Grand Total, Grouping Column in Results, Suppress Duplicates, Building Subqueries, Different Save Options, Working with Meta Topics (Original & Combined View), Processing Queries (all, Current, Custom), Estimating Query Size, Appending Queries (Union, Union All), Viewing SQL Log & Custom SQL, Query Options, Local Results & Derived Queries Concept
Adding & Building Pivot Section, Adding table Section & its significance, Drill Down Feature, Controlling Drill Down using Table Section, Pivot Refresh Data Options (After Process/When Displayed/Manual/Refresh Now), Variance Reporting in Pivot/Annotations in Pivot, Month Name Sorting/Top N analysis, Working with Report section (Creating Report Groups), Synchronize with DB Feature, Working with Spotlighter, Introduction to Java Scripting
Run Mode and Design Mode, Document Script Concept & Event Trigger, Navigating the Object Model in Script Editor, Hard Coding Values in Drop Down, Loading drop Down Values from Query using Java Script, Loading Drop Down values using Get Cell Function, Tool bars hiding using JavaScript, Filter the result based on User selection on Dashboard through Java Scripting, Working with Radio buttons & Text boxes, Explaining Pivot Properties on Dashboard (including Active/Hyperion link/View Only), Introducing Console Window, Working with Hyperlink
Extracting Last SQL Statement through JavaScript, Extracting report’s metadata using Java Scripting, Handling Dashboard Objects positioning based on coordinates through java Scripting, Repository Based reports & Utilities, Workspace Login/Explore & Folder Organization, Opening a BQY in Web Client, Import BQY on Workspace, Providing Adaptive States on BQY, Editing a published IR document, Administer Module Options (Administrator), CMC Console View, Data Access Service Configuration, Services in Task Manager, Job Status/Job Queue/Job Log, Managing Physical Resources, Shared Services Login, User Directories Management, Application Groups & LCM Utility
Demonstration of Workspace, Demonstration of Administration Activities, Demonstration of Shared Services
Get introduced to the SSRS Architecture, components of SSRS Report Building tool, learning about the data flow in different components.
Understanding the concepts of Matrix and Tablix, working with Text Box, learning about formatting, row/column grouping, understanding sorting, formatting, concepts of Header, Footer, Totals, Subtotals and Page Breaks.
Learning about Parameters, filter and visibility expression, understanding drill-through and drill-down, defining variables, custom code.
Introduction to various aspects of Bar Chart, Line Chart, Combination Chart, Shape Chart, Sub Reports
Learn how to build a Dashboard with Sparklines, Data Bars, Map Charts, Gauge Charts and drilling into reports, the basics of ad hoc reporting.
Data Bar, Sparkline, Indicator, Gauge Chart, Map Chart, Report Drilling, What is Ad hoc reporting?
Understanding Report Cache, Authorization, Authentication and Report Snapshot, learning about Subscriptions and Site Security.
Project: SSRS:
Problem Statement: In the United States, there are many stores in which a survey was conducted based on students. By using data set (Student Survey), try to extract meaningful Insights by creating an SSRS Report to show Tabular Visualization, Matrix Visualization, Funnel chart, Pie chart, Scatter plot, Drill-down.
Topics: Report Creation, Deployment, Concepts of Reporting Services, Tablix and Matrix, Expression and Parameters, Charts & Reports
Highlights:
Case Study: SSRS
Problem Statement: Steps to add a correlated column chart; how to create a report server project; Use of Data Connections, Performance point Content library; Steps to create drill-down charts; How to pass the parameter from the main chart to detail chart (pie); Functions of Data bars and Sparklines; Usage of KPI box in SSRS Dashboard;
Topics: Concepts of Reporting Services, Report Creation, Expression and Parameters, Report and Authentication, Deployment
Highlights:
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This course is designed for clearing QlikView Certification Program, Spotfire Certification Exam, Tableau Software Certification Exam, Cognos Developer Professional Certification Exam, Pentaho Certification Exam, Jaspersoft Certification Exam, MicroStrategy Training Certification Exam, Oracle Hyperion Interactive Reporting Certification and IBM Cognos Certification. At the end of the course, there will be a quiz and project assignments; once you complete them, you will be awarded with Intellipaat Course Completion Certificate. Thus, you can be in demand with Intellipaat certifications.
Our Alumni works at top 3000+ companies
A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented high-impact.
An experienced Blockchain Professional who has been bringing integrated Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marquee brands around the world.
A renowned Data Scientist who has worked with Google and is currently working at ASCAP, Samanth Reddy has a proven ability to develop Data Science strategies that have a high impact on the revenues of various organizations. He comes with strong Data Science expertise and has created decisive Data Science strategies for Fortune 500 corporations.
Intellipaat is a pioneer of Business Intelligence reporting tools training. This is an industry-designed combo training course that includes some of the best BI reporting tools used in the corporate world today. BI reporting is involved with helping the end-users visualize data, analyze it, gain new insights to make informed and data-driven business decisions.
This Intellipaat training includes the top BI reporting tools like QlikView, Tableau, Spotfire, Cognos, Jaspersoft, MicroStrategy, Hyperion, SSRS and Pentaho. This training will equip you with the skill set to work in the BI Reporting domain in any industry vertical, thanks to the diverse range of tools included in this combo training.
The complete course content is aligned towards clearing various certification exams such as: Tableau Desktop Qualified Associate Exam Certification, QlikView Developer Certification, Pentaho Business Analytics Implementation, MicroStrategy Certified Developer, IBM Certified Developer: Cognos BI Data Warehouses, PowerCenter Developer Certification, Oracle Hyperion Interactive Reporting Certification, Spotfire Knowledge Assessment Exam and Jaspersoft Certification Exam.
Your training program includes real-time projects and step-by-step assignments to evaluate your progress and specifically designed quizzes for clearing the requisite certification exams.
Intellipaat also offers lifetime access to videos, course materials, 24/7 support and course material upgrades to the latest version at no extra fees. Hence, it is clearly a one-time investment.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.
Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.
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