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Business Analyst Master’s Course

Master Program

Intellipaat’s Business Analyst master’s course is led by SMEs from top companies around the globe. Our course trainers will help you master the concepts and skills required to become a certified Business Analyst. They will teach you the core concepts of Business Analytics, including BABOK, planning stakeholder engagement, etc. Further, our support team is available 24 hours to clear all your course-related queries so that you can gain in-depth knowledge and complete your M.S. in Business Analyst.

In Collaboration with course image
  • 5+

    Courses

  • 50+

    Projects

  • 250

    Hours

What you will Learn 5 Courses

    • Course 1
      SQL
    • Course 2
      Business Analyst
    • Course 3
      Tableau Training
    • Course 4
      Agile Training
    • Course 5
      Excel
  • Get Master's Certificate

Key Features

108 Hrs Instructor Led Training
126 Hrs Self-paced Videos
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access

Course Fees

Online Classroom preferred

  • Everything in self-paced, plus
  • 108 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 29 Sep
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 03 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 10 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 18 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$702 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 support
  • Strong Reporting

Business Analyst Master’s Program Overview

This Business Analysts master’s course is specifically designed to hone your knowledge and expertise in numerous Business Analytics tools and technologies, such as Agile Scrum, Data Analytics, strategy analysis, solution evaluation, Scrum roles, pivot tables, and other significant concepts.

List of Courses and Tools Included

  • SQL
  • Business Analyst
  • Tableau Training
  • Agile Training
  • Excel

Tools Covered

  • Excel
  • Sql
  • Tableau
  • Jira
  • Trello
  • Fogbogz
  • Target Process (Agile)
  • Macros VBA
  • Planbox

 

In this Business Analyst master’s course, you will attain the following skills:

  • Business analytics and its concepts
  • Approach and governance techniques
  • Elicitation and collaboration
  • Analyzing strategies
  • Business limitations
  • BABOK
  • Requirement analysis
  • Agile perspective
  • Tools such as Tableau and Power BI

Since this Business Analyst master’s course comprises all the basic and significant concepts in this domain, there are no specific prerequisites. Although, having some experience in the Business Analysis domain can be beneficial while learning this course.

Those who must enroll in this Master’s in Business Analysis program are as follows:

  • IT Professionals
  • Sales Professionals
  • Marketing Managers
  • Supply Chain Network Managers
  • Aspiring Business Analysts who are aiming to make a career transition
  • Graduates and beginners who wish to pursue a career in the field of Data Analytics

Some of the reasons for you to take up this Master’s in Business Analyst program are mentioned below:

  • The requirement for Business Analysts will rise by 14% by 2024 – The Bureau of Labor Statistics
  • The United States alone has over 41,000 job opportunities for Business Analysts – LinkedIn
  • On average, entry-level Business Analysts earn about US$80,000 per annum in the United States – Indeed
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Testimonials

John Chioles

Ritesh Bhagwat

Mr Yoga

Dileep & Ajay

Sagar

Ashok Guntupalli

Amitav gosh

Product Analyst at Infosys

This MS in Business Analyst is one of the best training programs that I completed. Unlike most institutes, this institute provides hands-on experience in real-world assignments and projects, offering practical knowledge. This is extremely helpful, not only in understanding the concept better but also in terms of securing a lucrative job.

Raghavendra Narayan

Business Analyst at Tata Consultancy Services

I took up Intellipaat’s Master’s in Business Analysis, and it was one of my best decisions. Intellipaat’s placement team conducted several demo interviews, helped in updating my resume, and more. This helped me prepare for real-life job interviews, and it was due to this platform that I was able to land a high-paying job in a well-known organization.

Mayuri Udgirkar

I have recently completed my MS in Business Analyst from Intellipaat, and it is one of the best online courses I have done. The support team was available 24/7 and helped me a lot whenever I had any queries in the course. Besides, the course offered extensive course material, which was easy to understand and learn from.

Business Analyst Master’s Program Course Content

Introduction to SQL

Various types of databases, introduction to Structured Query Language, distinction between client server and file server databases, understanding SQL Server Management Studio, SQL Table basics, data types and functions, Transaction-SQL, authentication for Windows, data control language, and the identification of the keywords in T-SQL, such as Drop Table.

Database Normalization and Entity Relationship Model

Data Anomalies, Update Anomalies, Insertion Anomalies, Deletion Anomalies, Types of Dependencies, Functional Dependency, Fully functional dependency, Partial functional dependency, Transitive functional dependency, Multi-valued functional dependency, Decomposition of tables, Lossy decomposition, Lossless decomposition, What is Normalization?, First Normal Form, Second Normal Form, Third Normal Form, Boyce-Codd Normal Form(BCNF), Fourth Normal Form, Entity-Relationship Model, Entity and Entity Set, Attributes and types of Attributes, Entity Sets, Relationship Sets, Degree of Relationship, Mapping Cardinalities, One-to-One, One-to-Many, Many-to-one, Many-to-many, Symbols used in E-R Notation.

SQL Operators

Introduction to relational databases, fundamental concepts of relational rows, tables, and columns; several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys, understanding group functions, the unique key, etc.

Working with SQL: Join, Tables, and Variables

Advanced concepts of SQL tables, SQL functions, operators & queries, table creation, data retrieval from tables, combining rows from tables using inner, outer, cross, and self joins, deploying operators such as ‘intersect,’ ‘except,’ ‘union,’ temporary table creation, set operator rules, table variables, etc.

Deep Dive into SQL Functions

Understanding SQL functions – what do they do?, scalar functions, aggregate functions, functions that can be used on different datasets, such as numbers, characters, strings, and dates, inline SQL functions, general functions, and duplicate functions.

Working with Subqueries

Understanding SQL subqueries, their rules; statements and operators with which subqueries can be used, using the set clause to modify subqueries, understanding different types of subqueries, such as where, select, insert, update, delete, etc., and methods to create and view subqueries.

SQL Views, Functions, and Stored Procedures

Learning SQL views, methods of creating, using, altering, renaming, dropping, and modifying views; understanding stored procedures and their key benefits, working with stored procedures, studying user-defined functions, and error handling.

Deep Dive into User-defined Functions

User-defined functions; types of UDFs, such as scalar, inline table value, multi-statement table, stored procedures and when to deploy them, what is rank function?, triggers, and when to execute triggers?

SQL Optimization and Performance

SQL Server Management Studio, using pivot in MS Excel and MS SQL Server, differentiating between Char, Varchar, and NVarchar, XL path, indexes and their creation, records grouping, advantages, searching, sorting, modifying data; clustered indexes creation, use of indexes to cover queries, common table expressions, and index guidelines.

Managing Data with Transact-SQL

Creating Transact-SQL queries, querying multiple tables using joins, implementing functions and aggregating data, modifying data, determining the results of DDL statements on supplied tables and data, and constructing DML statements using the output statement.

Querying Data with Advanced Transact-SQL Components

Querying data using subqueries and APPLY, querying data using table expressions, grouping and pivoting data using queries, querying temporal data and non-relational data, constructing recursive table expressions to meet business requirements, and using windowing functions to group and rank the results of a query.

Programming Databases Using Transact-SQL

Creating database programmability objects by using T-SQL, implementing error handling and transactions, implementing transaction control in conjunction with error handling in stored procedures, and implementing data types and NULL.

Designing and Implementing Database Objects

Designing and implementing relational database schema; designing and implementing indexes, learning to compare between indexed and included columns, implementing clustered index, and designing and deploying views and column store views.

Implementing Programmability Objects

Explaining foreign key constraints, using T-SQL statements, usage of Data Manipulation Language (DML), designing the components of stored procedures, implementing input and output parameters, applying error handling, executing control logic in stored procedures, and designing trigger logic, DDL triggers, etc.

Managing Database Concurrency

Applying transactions, using the transaction behavior to identify DML statements, learning about implicit and explicit transactions, isolation levels management, understanding concurrency and locking behavior, and using memory-optimized tables.

Optimizing Database Objects

Accuracy of statistics, formulating statistics maintenance tasks, dynamic management objects management, identifying missing indexes, examining and troubleshooting query plans, consolidating the overlapping indexes, the performance management of database instances, and SQL server performance monitoring.

Advanced Topics

Corelated Subquery, Grouping Sets, Rollup, Cube

Hands-on Exercise

Implementing Corelated Subqueries, Using EXISTS with a Correlated subquery, Using Union Query, Using Grouping Set Query, Using Rollup, Using CUBE to generate four grouping sets, Perform a partial CUBE.

Microsoft Courses: Study Material

  • Performance Tuning and Optimizing SQL Databases
  • Querying Data with Transact-SQL

Writing Complex Subqueries

In this project, you will be working with SQL subqueries and utilizing them in various scenarios. You will learn to use IN or NOT IN, ANY or ALL, EXISTS or NOT EXISTS, and other major queries. You will be required to access and manipulate datasets, operate and control statements in SQL, execute queries in SQL against databases.

Querying a Large Relational Database

This project is about how to get details about customers by querying the database. You will be working with Table basics and data types, various SQL operators, and SQL functions. The project will require you to download a database and restore it on the server, query the database for customer details and sales information.

Relational Database Design

In this project, you will learn to convert a relational design that has enlisted within its various users, user roles, user accounts, and their statuses into a table in SQL Server. You will have to define relations/attributes, primary keys, and create respective foreign keys with at least two rows in each of the tables.

Introducing business analyst

Introduction to business analyst domain, the need for business analysts, the various roles and responsibilities, how the business analyst fits in the project team, significance of communication and collaboration, core competencies of business analyst, techniques and approaches in business analysis, how business analysts fit in the corporate structure, the different departments in the organization that business analysts connect with.

Understanding business needs

Understanding the needs of the business, gathering the requirements, studying feasibility, prioritizing, assessing the risks, evaluating and choosing the right initiative, assessing change of requirements, getting the requirements approved.

Project management

Introduction to the various types of projects, what are the phases in an IT project, important activities, deliverables and key people involved, comparing the software development lifecycle and product lifecycle, how the projects depend on other projects, what are the tasks and responsibilities of project manager, planning and monitoring a project, critical path analysis, creation of tasks, relationship between tasks, allocating the resources, working under various constraints.

Techniques used by business analysts

Introduction to the various techniques that business analysts use like SWOT, CATWOE, important tools used by business analysts, analysis of strategy, various components of strategy analysis, identification of stakeholders and the needs of business, what is business modeling, gathering of requirements, analyzing, designing, implementing, testing, and deploying in the business environment.

Software project methodologies

The various software engineering processes, understanding the software project steps, the software development lifecycle, the difference between waterfall and agile software project methodologies, RUP and RAD methodologies, project deliverables.

UML with Microsoft Visio

UML Architecture, Modeling Types, Basic Notations, Standard Diagrams, Class Diagram, Object Diagram, Use Case Diagram, Interaction Diagram, Activity Diagram

Hands-on: Implementing the UML Diagrams using Microsoft Visio

Introduction to Data Visualization and Power of Tableau

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.

Architecture of Tableau

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.

Working with Metadata and Data Blending

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.

Creation of Sets

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.

Working with Filters

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.

Organizing Data and Visual Analytics

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 with Mapping

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.

Working with Calculations and Expressions

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.

Working with Parameters

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.

Charts and Graphs

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.

Dashboards and Stories

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.

Tableau Prep

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.

Integration of Tableau with R and Hadoop

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.

Tableau Projects Covered

Understanding the global covid-19 mortality rates

Analyze and develop a dashboard to understand the covid-19 global cases.Compare the global confirmed vs. death cases in a world map. Compare the country wise cases using logarithmic axes. Dashboard should display both a log axis chart and a default axis chart in an alternate interactive way. Create a parameter to dynamically view Top N WHO regions based on cumulative new cases and death cases ratio. Dashboard should have a drop down menu to view the WHO region wise data using a bar chart, line chart or a map as per user’s requirement.

Understand the UK bank customer data

Analyze and develop a dashboard to understand the customer data of a UK bank. Create an asymmetric drop down of Region with their respective customer names and their Balances with a gender wise color code. Region wise bar chart which displays the count of customers based on High and low balance. Create a parameter to let the users’ dynamically decide the limit value of balance which categorizes it into high and low. Include interactive filters for Job classifications and Highlighters for Region in the final dashboard.

Understand Financial Data

Create an interactive map to analyze the worldwide sales and profit. Include map layers and map styles to enhance the visualization. Interactive analysis to display the average gross sales of a product under each segment, allowing only one segment data to be displayed at once. Create a motion chart to compare the sales and profit through the years. Annotate the day wise profit line chart to indicate the peaks and also enable drop lines. Add go to URL actions in the final dashboard which directs the user to the respective countries Wikipedia page.

Understand Agriculture Data

Create interactive tree map to display district wise data. Tree maps should have state labels. On hovering on a particular state, the corresponding districts data are to be displayed. Add URL actions, which direct users’ to a Google search page of the selected crop. Web page is to be displayed on the final dashboard. Create a hierarchy of seasons, crop categories and the list of crops under each. Add highlighters for season. One major sheet in the final dashboard should be unaffected by any action applied. Use the view in this major sheet to filter data in the other. Using parameters color code the seasons with high yield and low yield based on its crop categories. Rank the crops based on their yield

Introducing Agile Principles

Defining Agile values and principles, Contrasting Waterfall and Agile product development philosophies, Confronting the challenges of adopting Agile, Creating a cross–functional team.

Defining the Agile Framework

Embracing Agile

Defining the core Agile Framework, Core Agile team, artifacts and ceremonies, Adapting traditional business process to Agile, Applying core Agile Values, Leveraging checks and balances

Agile Ceremonies and Artifacts

Defining the Core Agile Artifacts

Creating the Product Backlog, Implementing the Sprint Backlog, Defining the Definition of Done, Developing potentially shippable product increment

Simulating the Core Agile Ceremonies

Refining the Product Backlog, Holding the Sprint Planning meeting, Hosting the Daily Agile, Leading Sprint Reviews, Facilitating successful Sprint Retrospectives

Refining the Product Backlog

Iterating the Product Backlog

Developing the Product Vision, Building the Product Backlog, Continuously refining the Product Backlog, Turning ideas into action, Applying the DOVE framework

Refining Product Delivery

Comparing iterative and incremental delivery, Decomposing Epics into features and stories, Releasing products with Minimal Marketable Features, Planning a product delivery roadmap

Estimating and Prioritizing Product Backlog Items

Defining user personas

Creating realistic user Personas, Visualizing scope through story maps, Linking user personas to use cases

Creating user stories

Writing users stories with the Connextra format, Evolving product requirements, Applying INVEST and SMART frameworks to focus user stories, Developing products with progressive elaboration, Breaking user stories into tasks, Defining appropriate acceptance criteria.

User story estimating

Sizing user stories, Estimating effort and business value level through relative measurement, Comparing and contrasting affinity and planning poker estimation techniques

Prioritizing the Product Backlog

Ranking product backlog item priority at the release, product and project level, Utilizing MoSCoW and other prioritization techniques, Applying the Pareto principle to product planning, Identifying high–priority items for sprint planning

Agile Responsibilities to the Team

Growing the Agile team

Enforcing the Agile process, Establishing team working agreements, Performing as a servant–leader, Removing Impediments, Becoming an Agile coach for your team

Ensuring long–term success

Continuously improving the team, Reporting appropriate metrics, Managing and reducing external dependencies, Adopting best practices for software engineering, Acting as an Agile champion in your organization

Agile Project

Project – Planning Poker

Problem Statement – It is an iterative approach to estimating Steps:

Topics: Each estimator is given a deck of cards; each card has a valid estimate written on it, Customer/Product owner reads a story, Each estimator selects a card that‘s his or her estimate, Cards are turned over so all can see them Discuss differences (especially outliers), Re-estimate until estimates converge

What projects I will be working on this Agile training?

Project – Planning Poker

Problem Statement – It is an iterative approach to estimating Steps:

Topics: Each estimator is given a deck of cards; each card has a valid estimate written on it, Customer/Product owner reads a story, Each estimator selects a card that‘s his or her estimate, Cards are turned over so all can see them Discuss differences (especially outliers), Re-estimate until estimates converge

Entering Data

Introduction to Excel spreadsheet, learning to enter data, filling of series and custom fill list, editing and deleting fields.

Referencing in Formulas

Learning about relative and absolute referencing, the concept of relative formulae, the issues in relative formulae, creating of absolute and mixed references and various other formulae.

Name Range

Creating names range, using names in new formulae, working with the name box, selecting range, names from a selection, pasting names in formulae, selecting names and working with Name Manager.

Understanding Logical Functions

the various logical functions in Excel, the If function for calculating values and displaying text, nested If functions, VLookUp and IFError functions.

Getting started with Conditional Formatting

Learning about conditional formatting, the options for formatting cells, various operations with icon sets, data bars and color scales, creating and modifying sparklines.

Advanced-level Validation

multi-level drop down validation, restricting value from list only, learning about error messages and cell drop down.

Important Formulas in Excel

Introduction to the various formulae in Excel like Sum, SumIF & SumIFs, Count, CountA, CountIF and CountBlank, Networkdays, Networkdays International, Today & Now function, Trim (Eliminating undesirable spaces), Concatenate (Consolidating columns)

Working with Dynamic table

Introduction to dynamic table in Excel, data conversion, table conversion, tables for charts and VLOOKUP.

Data Sorting

Sorting in Excel, various types of sorting including, alphabetical, numerical, row, multiple column, working with paste special, hyperlinking and using subtotal.

Data Filtering

The concept of data filtering, understanding compound filter and its creation, removing of filter, using custom filter and multiple value filters, working with wildcards.

Chart Creation

Creation of Charts in Excel, performing operations in embedded chart, modifying, resizing, and dragging of chart.

Various Techniques of Charting

Introduction to the various types of charting techniques, creating titles for charts, axes, learning about data labels, displaying data tables, modifying axes, displaying gridlines and inserting trendlines, textbox insertion in a chart, creating a 2-axis chart, creating combination chart.

Pivot Tables in Excel

The concept of Pivot tables in Excel, report filtering, shell creation, working with Pivot for calculations, formatting of reports, dynamic range assigning, the slicers and creating of slicers.

Ensuring Data and File Security

Data and file security in Excel, protecting row, column, and cell, the different safeguarding techniques.

Getting started with VBA Macros

Learning about VBA macros in Excel, executing macros in Excel, the macro shortcuts, applications, the concept of relative reference in macros.

Core concepts of VBA

In-depth understanding of Visual Basic for Applications, the VBA Editor, module insertion and deletion, performing action with Sub and ending Sub if condition not met.

Ranges and Worksheet in VBA

Learning about the concepts of workbooks and worksheets in Excel, protection of macro codes, range coding, declaring a variable, the concept of Pivot Table in VBA, introduction to arrays, user forms, getting to know how to work with databases within Excel.

IF condition

Learning how the If condition works and knowing how to apply it in various scenarios, working with multiple Ifs in Macro.

Loops in VBA

Understanding the concept of looping, deploying looping in VBA Macros.

Debugging in VBA

Studying about debugging in VBA, the various steps of debugging like running, breaking, resetting, understanding breakpoints and way to mark it, the code for debugging and code commenting.

Messaging in VBA

The concept of message box in VBA, learning to create the message box, various types of message boxes, the IF condition as related to message boxes.

Practical Projects in VBA

Mastering the various tasks and functions using VBA, understanding data separation, auto filtering, formatting of report, combining multiple sheets into one, merging multiple files together.

Best Practices of Dashboards Visualization

Introduction to powerful data visualization with Excel Dashboard, important points to consider while designing the dashboards like loading the data, managing data and linking the data to tables and charts, creating Reports using dashboard features.

Principles of Charting

Learning to create charts in Excel, the various charts available, the steps to successfully build a chart, personalization of charts, formatting and updating features, various special charts for Excel dashboards, understanding how to choose the right chart for the right data.

Getting started with Pivot Tables

Creation of Pivot Tables in Excel, learning to change the Pivot Table layout, generating Reports, the methodology of grouping and ungrouping of data.

Creating Dashboards

Learning to create Dashboards, the various rules to follow while creating Dashboards, creation of dynamic dashboards, knowing what is data layout, introduction to thermometer chart and its creation, how to use alerts in the Dashboard setup.

Creation of Interactive Components

How to insert a Scroll bar to a data window?, Concept of Option buttons in a chart, Use of combo box drop-down, List box control Usage, How to use Checkbox Control?

Data Analysis

Understanding data quality issues in Excel, linking of data, consolidating and merging data, working with dashboards for Excel Pivot Tables.

What projects I will be working on this Excel certification training?

Project – if Function

Data – Employee

Problem Statement – It describes about if function and how to implement this if function. It includes following actions:

Calculates Bonus for all employee at 10% of their salary using if Function, Rate the salesman based on the sales and the rating scale., Find the number of times “3” is repeated in the table and find the number of values greater than 5 using Count Function, Uses of Operators and nested if function

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Master’s in Business Analyst Certification

Intellipaat’s online Business Analyst master’s course aims to help you clear several certification exams, including the ones mentioned below:

  • CCBA – Certification of Competency in Business Analysis
  • Agile Scrum Foundation
  • Digital Transformation Course for Leaders

Further, in this Business Analyst master’s course, you will gain in-depth knowledge of the roles of Business Analysts, and you will be able to clear the certification.
In this training program, you will work on several industry-based assignments and projects, which will enhance your learning process. We will prepare you for job interviews through several mock interviews, resume creation, and more so that, once you complete the course, you will be placed in a well-reputed company. Intellipaat’s certification is recognized by top MNCs around the world.

Our Alumni works at top 3000+ companies

client-desktop client-mobile

Course Advisor

Suresh Paritala

Suresh Paritala

Solutions Architect at Microsoft, USA

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.

David Callaghan

David Callaghan

Big Data Solutions Architect, USA

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.

Samanth Reddy

Data Team Lead at Sony, USA

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.

Frequently Asked Questions

Why register for Intellipaat’s Master’s in Business Analyst training program?

The online Business Analyst master’s course at Intellipaat is one of the best courses that will make you proficient in the core concepts and tools of Business Analysis, such as SQL, Tableau, Power BI, Agile Scrum Master, etc. Our instructors will help you master these concepts in-depth. Moreover, we will provide you lifetime access to our community, wherein you can ask your queries and get them cleared whenever required.

We offer complete access to the training resources for free. During the course, you will work on several industry-specific assignments and projects, which will substantiate your learning. Once you successfully execute the given projects, you will receive course completion certification from us, which is recognized by top organizations around the world. At Intellipaat, we aim to make you job-ready by offering assistance through demo interviews, resume creation, etc.

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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