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PG Certification in Business Analysis & Product Management

This PG certification in Business Analysis & Product Management by E&ICT Academy, MNIT (Malviya National Institute of Technology), Jaipur will provide extensive training on Agile methodologies, Tableau, SQL for business analytics, etc. and with a focus on industry-based projects for hands-on experience. This course includes the modules of IIBA CBAP & CBDA certification. The course has been carefully brought together by the Industry experts & top faculty at MNIT.

In collaboration with

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Learning Format


Live Classes

7 Months


Alumni status

3 Guaranteed



Hiring Partners

About Program

This PG certification program has been designed to help one become an expert in the field of business analysis and product management with intensive training provided by the MNIT, Jaipur faculty. The skills have been carefully picked for our learners to add value to their resumes and help meet the rising demands in the industry.

Key Highlights

400 Hrs of Applied Learning
134 Hrs Self-paced Videos
60+ Live sessions across 7 months
30+ Industry Projects & Case Studies
PG Certification by E&ICT Academy, MNIT
Live classes from MNIT Faculty & Industry Practitioners
Executive Alumni status by E&ICT Academy, MNIT Jaipur
1:1 with Industry Mentors
3 Guaranteed Interviews by Intellipaat
24*7 Support
Designed for Working Professionals & Fresher's
Soft Skills Essential Training
No Cost EMI Option

Free Career Counselling

We are happy to help you 24/7

About E&ICT MNIT, Jaipur

Electronics & ICT Academy MNIT, Jaipur (E&ICT MNIT, Jaipur) is an initiative supported by MeitY, Govt of India. The courses provided by us lay an emphasis on bridging the gap between industry demand and academic approach to learning and provide a foundation to build your career in top IT companies.

In this program, you will:

  • Receive PG certificate from E&ICT, MNIT & Intellipaat
  • Alumni status of E&ICT, MNIT Jaipur
  • Receive live lectures from the MNIT faculty

Achievements by MNIT: 

  • Ranked 35th among engineering colleges by the NIRF in 2020
  • Ranked 23 by the Week in 2020 for engineering

Program in Collaboration with IIBA and IBM

The IIBA supports and promotes the discipline of business analysis and strives to help Business Analysts sharpen their skills. They offer education and content to help learners and professionals open up their career paths. IBM is a giant player in the market and its carefully designed module will help anyone jump up theRead More..

Benefits for students from IIBA and IBM

  • Industry-recognized certification from IBM
  • Real-time projects and exercises
  • Earn 35 hrs PDs / CDUs for CBAP
  • Earn 24 hrs PDs/CDUs for CBDA

Who can apply for the course?

  • Anyone with a bachelor’s degree and a passion for Product Management
  • Professionals looking to grow their career as a Business Analyst 
  • Professionals with a bachelor’s degree who want to enter Product Management
  • Freshers who want to pursue Business Analysis and Product Management
  • IT and Sales professionals
Who can aaply

What roles can a Business Analysis and Product Management professional play?

Chief Technology Officer (CTO)

They are masters of strategic thinking and capable of conducting technological analysis with strong leadership and organizational skills.

Project Manager

They possess data-driven business acumen that helps them plan, budget, and oversee an organization’s project.

Market Research Analyst

Market Research Analysts compile complex reports, surveys, spreadsheets, etc. to gather and evaluate significant market intelligence.

Product Manager

They are responsible for the strategy, roadmap, and features of a product, as well as work well with cross-functional teams.

Product Manager Director

It is a senior and executive-level leadership position that focuses on making sure the team is running effectively and improving processes.

Chief Product Officer (CPO)

This role typically oversees all product activities and defines the big-picture product strategy and setting long-term goals.

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Skills to Master


Agile Business

UML Diagrams

Agile Scrum

Data visualization



Entity Relationship Model




Machine Learning

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Tools to Master

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Meet Your Mentors


Live Course Self Paced

Learn how to do Business analysis, data transformation and other important analysis functions. Basic fundamental of Python and learn how to do analytics using the same.

2.1 Introduction to Business Analysis 

  • Business Analysis overview
  • Who is a Business Analyst?
  • Introduction to governance body (IIBA)
  • Business Analysis body of knowledge
  • Knowledge areas of BABOK
  • SDLC & requirement analysis

2.2 Business Analysis Concepts and Knowledge Areas                    

  • Business Analysis core concepts and knowledge areas
  • Planning and monitoring
  • Business Analysis approach and governance
  • Business Analysis information management
  • Elicitation and collaboration

2.3 Requirement Lifecycle Management and Strategy Analysis 

  • Trace, maintain, & prioritize requirements
  • Assess requirement changes and approval
  • Analyze current state
  • Define future state
  • Assess risks
  • Define change strategy

2.4 Requirement Analysis, Design Definition, Model Requirements, and Solution Evaluation 

  • Specify model requirements
  • Verify and validate requirements
  • Define requirement architecture and design options
  • Measure and analyze solution performance
  • Assess solution and enterprise limitations
  • Recommend actions to increase solution values
  • Data model, UI model, user stories

2.5 Agile Business Perspectives and Creating UML 

  • Introduction to business Agile perspective
  • Business Intelligence perspective
  • Information Technology perspective
  • Business architecture perspective
  • Business Process Management perspective

2.6 Understand BA Role on the Agile Team

  • Write effective user stories and acceptance criteria
  • Develop backlogs into great products
  • BA role in new age Business Analysis

2.7 Underlying Competencies of a Business Analyst & Microsoft Visio 

  • Business Analyst underlying competencies
  • BA Skills
  • Soft skills, leadership and personal development
  • UML diagrams using Microsoft Visio
  • Types of flowcharts, cross-functional flowcharts

Tools covered

Tools Covered

3.1 Data Science and Analytics Fundamentals

  • Introduction to data science and analytics
  • Use cases in data science and analytics
  • Data science life cycle
  • Data Analytics: Types
  • AI and Machine Learning: Overview

3.2 CBDA: Introduction

  • CBDA: Overview
  • What is Business Data Analytics?
  • Eligibility criteria
  • Six Business Data Analytics domains

3.3 Business Analysis and Data Analytics

  • Business analysis in data analytics projects
  • Comparison between business analysis and data analytics

3.4 Business Data Analytics Domains: Introduction

Domain 1: Identifying the Research Questions

  • Defining business problems or opportunities
  • Identifying and understanding stakeholders
  • Current state assessment
  • Defining the future state
  • Formulation of research questions
  • Planning the Business Data Analytics approach
  • Selection of techniques for the identification of research questions

Domain 2: Source Data

  • Data collection planning
  • Determination of datasets
  • Data collection
  • Data validation

Domain 3: Data Analysis

  • Developing a Data Analysis plan
  • Data preparation
  • Data exploration
  • Performing data analysis
  • Assessment of the analytics and system approach

Domain 4: Interpreting and Reporting Results

  • Validating the understanding of stakeholders
  • Planning for stakeholder communication
  • Determining the communication requirements of the stakeholders
  • Deriving insights from data
  • Documentation and communication of findings from the completed analysis
  • Selection of techniques for interpreting and reporting results

Domain 5: Using Results to Influence Business Decision-making

  • Action recommendation
  • Implementation plan development
  • Change management
  • Guiding the organizational-level strategy for Business Data Analytics
  • Organizational strategy
  • Talent strategy
  • Data strategy

3.5 Techniques

  • Business simulation
  • Business visualization
  • Concept modeling
  • Data dictionary, flow diagrams, mapping, and storytelling
  • Decision modeling and analysis
  • Descriptive and inferential statistics
  • Extract, Transform, and Load (ETL)
  • Exploratory data analysis
  • Hypothesis formulation and testing
  • Interface analysis
  • Optimization
  • Problem shaping and reframing
  • Stakeholder list, map, and personas
  • Survey and questionnaire
  • Technical visualizations
  • The big idea
  • 3-minute story

4.1 Introduction to Agile Scrum 

  • Agile Scrum overview
  • Agile project principles
  • Sprint and Increment in Agile Scrum
  • Scrum theory
  • Other Agile Frameworks

4.2 Scrum Team and Artifacts and Events

  • Scrum team and Scrum Master
  • Scrum roles
  • Scrum flow
  • Scrum artifacts: product backlog 
  • Artifacts transparency
  • Scrum events: sprint planning and retrospective
  • Agile estimating, planning, monitoring, and control

4.3 Project Management Using Jira 

  • Introduction to Project Management in Jira
  • Jira issue types
  • Scrum & Kanban boards
  • Customizing board settings
  • Release and backlog management
  • Jira reports

Tools covered

Tools Covered

5.1 Class diagram
5.2 Component diagram
5.3 Composite structure diagram
5.4 Deployment diagram
5.5 Object diagram
5.6 Package diagram
5.7 Profile diagram
5.8 Activity diagram
5.9 State machine diagram
5.10 Use case diagram
5.11 Communication diagram
5.12 Interaction overview diagram
5.13 Sequence diagram
5.14 Timing diagram

6.1 Communication skills
6.2 Leadership skills
6.3 Problem-solving skills
6.4 Business knowledge
6.5 IT knowledge

7.1 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
  • Examples using Tableau
  • Installing Tableau, Tableau interface, connecting to DataSource, Tableau data types
  • Data preparation

7.2 Architecture of Tableau

  • Installation of Tableau Desktop
  • Architecture of Tableau
  • Tableau interface
  • How to start with Tableau
  • The ways to share and export the work done in Tableau

Hands-on Exercise:

Play with Tableau desktop, learn about the interface, share and export existing works

7.3 Working with Metadata and Data Blending

  • Connection to Excel
  • Cubes and PDFs
  • Management of metadata and extracts
  • Data preparation
  • Joins and Union

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

7.4 Creation of Sets

  • Mark, highlight, sort, group, and use sets 
  • Constant sets
  • Computed sets, bins, etc.

Hands-on Exercise:

Use marks to create and edit sets, highlight the desired items, make groups, apply to sort on results, make hierarchies among the created sets

7.5 Working with Filters

  • Filters 
  • Filtering continuous dates, dimensions, and measures
  • Interactive filters, marks card, and hierarchies
  • How to create folders in Tableau
  • Sorting in Tableau, types of sorting, filtering in Tableau, Types of filters
  • Filtering the order of operations

Hands-on Exercise:

Use the data set by date/dimensions/measures to add a filter, Use an interactive filter to view the data, Customize/remove filters to view the result

7.6 Organizing Data and Visual Analytics

  • Using formatting pane 
  • Formatting data using labels and tooltips
  • Edit axes and annotations
  • K-means cluster analysis
  • Trend and reference lines
  • Visual analytics in Tableau

Hands-on Exercise:

Apply labels and tooltips to graphs, annotations, edit axes’ attributes, set the reference line, perform k-means cluster analysis on the given dataset

7.7 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
  • 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, use WMS

7.8 Working with Calculations and Expressions

  • Calculation syntax and functions in Tableau
  • Various types of calculations
  • LOD expressions, including concept and syntax
  • Aggregation and replication with LOD expressions
  • Nested LOD expressions
  • Levels of details
  • Quick table calculations
  • The creation of calculated fields
  • Predefined calculations
  • How to validate

7.9 Working with Parameters

  • Creating parameters
  • Parameters in calculations
  • Using parameters with filters
  • Column selection parameters
  • Chart selection parameters
  • Parameters in the filter session
  • Parameters in calculated fields
  • Parameters in the reference line

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

7.10 Charts and Graphs

  • Dual axes graph
  • Histograms, single and dual axes, box plot
  • Charts
  • Maps
  • Market basket analysis (MBA)
  • Using show me, text table, and highlighted table

Hands-on Exercise:

Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset, perform market basket analysis (MBA) on the same dataset

7.11 Dashboards and Stories

  • What is a dashboard?
  • Building and formatting a dashboard 
  • Best practices for making dashboards 
  • Creating stories
  • Adding annotations 
  • Tableau joins, Types of joins, Tableau field types
  • Saving as well as a publishing data source

Hands-on Exercise:

Create a Tableau dashboard view, include legends, objects, and filters, make the dashboard interactive, use visual effects, annotations, and descriptions to create and edit a story

7.12 Tableau Prep

  • Introduction to Tableau Prep
  • Getting deeper insights into the data with visualizations
  • Making data preparation simpler and accessible
  • Integrating Tableau Prep with Tableau analytical workflow
  • Data preparation to analysis with Tableau Prep

Tools covered

Tools Covered

8.1 Introduction to MS Excel & Data Extraction
8.2 Referencing in formulas
8.3 Name range
8.4 Logical functions
8.5 Conditional formatting
8.6 Advanced-level validation
8.7 Important formulas in Excel
8.8 Dynamic table
8.9 Data sorting, filtering
8.10 Chart creation techniques
8.11 Pivot tables in Excel
8.12 Data and file security
8.13 VBA Macros
8.14 Best practices of dashboards visualization
8.15 Creating dashboards
8.16 Creation of interactive components

Tools covered

Tools Covered

9.1 Introduction to SQL

  • Various types of databases
  • 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
  • Identification of keywords in T-SQL

9.2 Database Normalization and Entity Relationship Model

  • Data anomalies
  • What is normalization?
  • Types of normalization forms
  • Entity-relationship model

9.3 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

9.4 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 
  • Deploying operators 
  • Temporary table creation
  • Set operator rules
  • Table variables

9.5 Deep Dive into SQL Functions

  • SQL functions 
  • Scalar and aggregate functions
  • Inline SQL functions
  • General and duplicate functions

9.6 Working with Subqueries

  • SQL subqueries and rules
  • Statements and operators with which subqueries can be used
  • Modify subqueries
  • Types of subqueries
  • Methods to create and view subqueries

9.7 SQL Views, Functions, and Stored Procedures

  • Learning SQL views
  • Methods of working with views
  • Stored procedures and their key benefits

Tools covered

Tools Covered

You will be working on multiple projects on different domains like retail, finance, banking and learn how Machine Learning is used to solve todays world problems.

11.1 Python Environment Setup and Essentials

  • Introduction to Python 
  • Features
  • Python installation – Windows, Mac & Linux distribution for Anaconda Python
  • Deploying Python IDE
  • Basic Python commands, data types, variables, keywords, etc.

Hands-on Exercise

Installing Python Anaconda for Windows, Linux, and Mac

11.2 Python language Basic Constructs

  • Built-in data types in Python
  • Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
  • Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
  • Loop and control statements 

Hands-on Exercise

Write your first Python program, Write a Python function (with and without parameters), use Lambda expression, write a class, create a member function and a variable, create an object, write a for loop

11.3 OOP concepts in Python

  • Write OOP concepts program in Python
  • Connecting to a database
  • Classes and objects in Python
  • OOPs paradigm
  • Python functions, return types, and parameters
  • Lambda expressions

Hands-on Exercise

Creating an application that helps to check balance, deposit money and withdraw the money using the concepts of OOPS.

11.4 Database Connection

  • Database and need of database
  • Installing MySQL on Windows
  • Database connection using Python

Hands-on Exercise

Demo on Database Connection using python and pulling the data.

11.5 NumPy for Mathematical Computing

  • Arrays and matrices
  • Broadcasting of array math
  • Indexing of the array
  • Standard deviation, conditional probability, correlation, and covariance

Hands-on Exercise

How to import the NumPy module, creating an array using an ND-array, calculating standard deviation on an array of numbers, calculating correlation between two variables.

11.6 SciPy for Scientific Computing

  • Introduction to SciPy
  • Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, 
  • SciPy with Bayes Theorem

Hands-on Exercise

Importing of SciPy, applying the Bayes theorem on the given dataset

11.7 Matplotlib for Data Visualization

  • How to plot graph and chart with Python
  • Various aspects of line, scatter, bar, histogram, 3D, the API of Matplotlib, subplots

Hands-on Exercise

Deploying MatPlotLib for creating Pie, Scatter, Line, Histogram

11.8 Pandas for Data Analysis and Machine Learning

  • Introduction to Python data frames
  • Importing data from JSON, CSV, Excel, SQL database, NumPy array to data frame
  • Various data operations 

Hands-on Exercise 

Working on importing data from JSON files, selecting record by a group, applying filter on top, viewing records

Capstone Project

Substantiate your learning experience and Business Analysis skills via this practical, industry-based capstone project based on our course and showcase your skills in the field of Product Management and Business Analysis.

Tools covered

Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered

Substantiate your learning experience and Business Analysis skills via this practical, industry-based capstone project based on our course and showcase your skills in the field of Product Management and Business Analysis.

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Program Highlights

60+ Live sessions across 7 months
30+ Industry Projects & Case Studies
134 Hours of Self-paced Videos
24*7 Support

Interested in This Program? Secure your spot now.

The application is free and takes only 5 minutes to complete.

Project Work

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!


Career Services By Intellipaat

Career Services

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.


Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage


Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.


1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.


3 Guaranteed Interviews

After 80% of the course completion

Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.


Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Our Alumni Work At

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Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Submit Application

Submit Application

Tell us a bit about yourself and why you want to join this program

Application Review

Application Review

An admission panel will shortlist candidates based on their application


Application Review

Selected candidates will be notified within 1–2 weeks

Program Fee

Total Admission Fee

$ 1,799

Upcoming Application Deadline 5th Dec 2021

Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 5th Dec 2021 08:00 PM IST Weekend (Sat-Sun)
Regular Classes 5th Dec 2021 08:00 PM IST Weekend (Sat-Sun)

Frequently Asked Questions

Who are the course instructors, and how do they get selected?

Our instructors are certified professionals in Business Analysis and Product Management with over 12 years of industry experience in the field. They were selected through a rigorous process before they could sign up with us for this course.

Intellipaat’s Business Analysis and Product Management online course will give you hands-on experience in mastering the domains of Business Analysis and Product Management. 

You will also get to master various topics like UML 2.0, SQL functions, Agile business perspectives, and many more. After completing the PG course, you will be awarded Intellipaat’s certificate as well as certification from E&ICT and MNIT, Jaipur.

As part of this course, you will work on real-time projects and assignments that have high relevance in the corporate world. Upon completion, you can apply for some of the best jobs in top MNCs around the world.

To get your PG certification in Business Analysis and Product Management, you are required to complete the entire course and execute all the given assignments, exercises, and projects successfully.

You will be receiving online training that will provide you with a comprehensive understanding of all Business Analysis and Product Management concepts. There are also session recordings available that you can refer to at your convenient time in the future or if you miss a class.

If you want more information about this PG course, you can use the chat window on this page or get in touch with our course advisors.

The PG certification has lifetime validity. Through this certification, you can showcase your skills while applying for job positions.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work

I’m Interested in This Program

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