Our QlikView, Tableau and Spotfire master's program lets you gain proficiency in these three Business Intelligence tools. You will work on real-life industry projects in data visualization, interactive dashboard, multivariate analysis, data aggregation, blending and reporting as part of this training.
Master data visualization and dashboard creation by learning QlikView, Tableau and Spotfire at once!
This is a combo training course that provides a great opportunity to learn some of the top Business Intelligence tools available in the market today. It has been designed taking into consideration the specific needs of the industry. This combo course lets you work, among other things, with QlikView objects and charts, Tableau filters and graphs, Spotfire Workflow Automation services and frameworks.
A basic knowledge of database and SQL is an added advantage but not mandatory for learning these BI tools.
This combo training course includes top three Business Intelligence tools in the market today. Having a mastery over these three tools can definitely help you in your career. You will be able to visualize data and interpret the meaning from large data sets using a combination of these three tools. Your career will never be the same again with companies ready to pay top dollars for the unique skill set that you possess.
Introduction to the concepts of Business Intelligence, learning about QlikView, 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
1.1 What is data visualization?
1.2 Comparison and benefits against reading raw numbers
1.3 Real use cases from various business domains
1.4 Some quick and powerful examples using Tableau without going into the technical details of Tableau
1.5 Installing Tableau
1.6 Tableau interface
1.7 Connecting to DataSource
1.8 Tableau data types
1.9 Data preparation
2.1 Installation of Tableau Desktop
2.2 Architecture of Tableau
2.3 Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
2.4 How to start with Tableau
2.5 The ways to share and export the work done in Tableau
1. Play with Tableau desktop
2. Learn about the interface
3. Share and export existing works
3.1 Connection to Excel
3.2 Cubes and PDFs
3.3 Management of metadata and extracts
3.4 Data preparation
3.5 Joins (Left, Right, Inner, and Outer) and Union
3.6 Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc.
1. Connect to Excel sheet to import data
2. Use metadata and extracts
3. Manage NULL values
4. Clean up data before using
5. Perform the join techniques
6. Execute data blending from multiple sources
4.1 Mark, highlight, sort, group, and use sets (creating and editing sets, IN/OUT, sets in hierarchies)
4.2 Constant sets
4.3 Computed sets, bins, etc.
1. Use marks to create and edit sets
2. Highlight the desired items
3. Make groups
4. Apply sorting on results
5. Make hierarchies among the created sets
5.1 Filters (addition and removal)
5.2 Filtering continuous dates, dimensions, and measures
5.3 Interactive filters, marks card, and hierarchies
5.4 How to create folders in Tableau
5.5 Sorting in Tableau
5.6 Types of sorting
5.7 Filtering in Tableau
5.8 Types of filters
5.9 Filtering the order of operations
1. Use the data set by date/dimensions/measures to add a filter
2. Use interactive filter to view the data
3. Customize/remove filters to view the result
6.1 Using Formatting Pane to work with menu, fonts, alignments, settings, and copy-paste
6.2 Formatting data using labels and tooltips
6.3 Edit axes and annotations
6.4 K-means cluster analysis
6.5 Trend and reference lines
6.6 Visual analytics in Tableau
6.7 Forecasting, confidence interval, reference lines, and bands
1. Apply labels and tooltips to graphs, annotations, edit axes’ attributes
2. Set the reference line
3. Perform k-means cluster analysis on the given dataset
7.1 Working on coordinate points
7.2 Plotting longitude and latitude
7.3 Editing unrecognized locations
7.4 Customizing geocoding, polygon maps, WMS: web mapping services
7.5 Working on the background image, including add image
7.6 Plotting points on images and generating coordinates from them
7.7 Map visualization, custom territories, map box, WMS map
7.8 How to create map projects in Tableau
7.9 Creating dual axes maps, and editing locations
1. Plot longitude and latitude on a geo map
2. Edit locations on the geo map
3. Custom geocoding
4. Use images of the map and plot points
5. Find coordinates
6. Create a polygon map
7. Use WMS
8.1 Calculation syntax and functions in Tableau
8.2 Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number
8.3 LOD expressions, including concept and syntax
8.4 Aggregation and replication with LOD expressions
8.5 Nested LOD expressions
8.6 Levels of details: fixed level, lower level, and higher level
8.7 Quick table calculations
8.8 The creation of calculated fields
8.9 Predefined calculations
8.10 How to validate
9.1 Creating parameters
9.2 Parameters in calculations
9.3 Using parameters with filters
9.4 Column selection parameters
9.5 Chart selection parameters
9.6 How to use parameters in the filter session
9.7 How to use parameters in calculated fields
9.8 How to use parameters in the reference line
1. Creating new parameters to apply on a filter
2. Passing parameters to filters to select columns
3. Passing parameters to filters to select charts
10.1 Dual axes graphs
10.3 Single and dual axes
10.4 Box plot
10.5 Charts: motion, Pareto, funnel, pie, bar, line, bubble, bullet, scatter, and waterfall charts
10.6 Maps: tree and heat maps
10.7 Market basket analysis (MBA)
10.8 Using Show me
10.9 Text table and highlighted table
1. Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset
2. Perform market basket analysis (MBA) on the same dataset
11.1 Building and formatting a dashboard using size, objects, views, filters, and legends
11.2 Best practices for making creative as well as interactive dashboards using the actions
11.3 Creating stories, including the intro of story points
11.4 Creating as well as updating the story points
11.5 Adding catchy visuals in stories
11.6 Adding annotations with descriptions; dashboards and stories
11.7 What is dashboard?
11.8 Highlight actions, URL actions, and filter actions
11.9 Selecting and clearing values
11.10 Best practices to create dashboards
11.11 Dashboard examples; using Tableau workspace and Tableau interface
11.12 Learning about Tableau joins
11.13 Types of joins
11.14 Tableau field types
11.15 Saving as well as publishing data source
11.16 Live vs extract connection
11.17 Various file types
1. Create a Tableau dashboard view, include legends, objects, and filters
2. Make the dashboard interactive
3. Use visual effects, annotations, and descriptions to create and edit a story
12.1 Introduction to Tableau Prep
12.2 How Tableau Prep helps quickly combine join, shape, and clean data for analysis
12.3 Creation of smart examples with Tableau Prep
12.4 Getting deeper insights into the data with great visual experience
12.5 Making data preparation simpler and accessible
12.6 Integrating Tableau Prep with Tableau analytical workflow
12.7 Understanding the seamless process from data preparation to analysis with Tableau Prep
13.1 Introduction to R language
13.2 Applications and use cases of R
13.3 Deploying R on the Tableau platform
13.4 Learning R functions in Tableau
13.5 The integration of Tableau with Hadoop
1. Deploy R on Tableau
2. Create a line graph using R interface
3. Connect Tableau with Hadoop to extract data
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 : 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.
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
Domain – Healthcare
Objective – Visual Mapping between Vaccination rate and Measles outbreak
The description of the dataset is mentioned below
Project 1 : Analyzing global COVID-19 data with interactive Tableau dashboard
Domain : Healthcare, COVID-19
Problem statement : Analyzing, understanding and comparing the COVID-19 cases across different countries
Description : In this project, you will be working on two data sets having country wise information which includes the number of confirmed cases, number of death cases, number of new cases and deaths per day. Data sets are to be related, joined or blended with each other to proceed with this dashboard. You will apply filters, parameters, actions and calculations wherever necessary to get the desired results according to the problem statements mentioned in the project work. Depending on factors such as the fields used to visualize, number of values in each field and the problem statement, appropriate charts and graphs are to be used. The final dashboard should be interactive in nature, allowing users to interactive and analyze data as per their requirement.
Project 2 : Tableau dashboard for analyzing the UK bank customer data.
Domain : Bank customer data
Problem statement : Understanding the Region wise customer details in the UK bank data set provided
Description : In this project, you will be working on this bank data which has the region wise customer details with their respective job classifications, gender-age details and their balances maintained in the bank. You will be creating pie charts, donut pie charts, asymmetric drill downs and motion charts for an insightful visualization. A day wise forecast on balance is to be calculated using Exponential smoothing – an inbuilt forecasting tool in Tableau. Final dashboard should be interactive with filters and highlighters used.
Project 3 : Tableau dashboard for analyzing the Financial data
Domain : Retail, Finance
Problem statement : Analyzing the country wise product data to understand the key performance indicators such as sales and profit to improvise the performance and sales of the products
Description : In this project, you will be analyzing the country wise sales and profit for each of its segments and products. World maps are to be used for an interactive analysis with detailed tool tips. Country maps are displayed using interactive filters. Motion charts and customized shapes are used for enhancing visualizations. Annotations and drop lines are inserted wherever necessary. Phone and tablet layouts are added for enabling mobility of dashboards after publishing. Analyzing the outliers for each country is a major problem statement in this project.
Project 4 : Tableau dashboard for understanding the agricultural data
Domain : Agriculture
Problem statement : Agricultural Area, yield and production wise analysis per state
Description : In this project, you will have to analyze and understand data corresponding to a few states of India. Various seasonal crop categories and respective crops’ details under each category are provided for detailed analysis. Interactive drill down tree maps are to be used for insightful visualizations. Ranking crops based on their yeild value per year, seasonal pie charts with production details, district wise charts are a few of the requirements and problem statements of this project.
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.
This course is designed to clear the following exams:
The entire course content is in line with respective certification programs and helps you clear the requisite certification exams with ease and get the best jobs in top MNCs.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this training program, there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and help you score better marks.
Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
Intellipaat is a pioneer in Business Intelligence training. This industry-designed combo BI training includes some of the top BI tools like QlikView, Tableau and Spotfire. This Intellipaat training gives you an unprecedented opportunity to master the best combination of QlikView charts, Tableau visualizations and Spotfire dashboards in order to become a BI professional unlike any.
The entire course content is designed towards clearing the following exams: QlikView Developer Certification, Tableau Desktop Qualified Associate Certification and Spotfire Knowledge Assessment Exam.
This is a completely career-oriented training designed by industry experts. Your training program includes real-time projects and step-by-step assignments to evaluate your progress and specially 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 fee. 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 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.