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iHUB-IIT-R

Executive Post Graduate Certification in Business Analysis and Product Management

1,255 Ratings

The Executive Post Graduate Certification in Business Analysis and Product Management by iHUB DivyaSampark, IIT Roorkee will help you build expertise in Tableau, SQL for business analysis, Agile methodologies, and more. The course places focus on industry-relevant projects and case studies. The curriculum has been carefully designed by industry experts and includes the modules of IIBA CBAP and CBDA certifications. Enroll now!

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Ranked #1 Business Intelligence Program by India Today

Learning Format

Online

Live Classes

7 Months

Career Services

by Intellipaat

Placement Assistance

Interviews

500+

Hiring Partners

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About Program

Gain expertise in the fields of business analysis and product management with the executive post graduate certification program from iHUB DivyaSampark. Learners will be provided with skills to add value to their resumes and fulfill the demands of 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 iHUB DivyaSampark, IIT Roorkee
Live classes from Industry Practitioners
1:1 with Industry Mentors
Placement Assistance by Intellipaat
24*7 Support
Designed for Working Professionals & Freshers
1:1 mock interview
No-cost EMI Option

About iHUB DivyaSampark, IIT Roorkee

iHUB DivyaSampark aims to enable innovative ecosystem in new age technologies like AI, ML, Drones, Robots, data analytics (often called CPS technologies) and becoming the source for the next generation of digital technologies, products and services by promoting, enhancing core competencies, capacity building,Read More..

Key Achievements of IIT Roorkee:

In this program, you will:

  • Receive Executive Post Graduate certification from iHUB DivyaSampark, IIT Roorkee
Executive-Post-Graduate-Certification-in-Business-Analysis-and-Product-Management Click to Zoom

Career Transition

55% Average Salary Hike

$1,30,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

*Past record is no guarantee of future job prospects

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
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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 working 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 sets long-term goals.

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Skills to Master

SDLC

Agile Business

UML Diagrams

Agile Scrum

Data visualization

SQL

Analytics

Entity Relationship Model

Python

NumPy

SciPy

Machine Learning

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Tools to Master

MS-Visio JIRA-software tableau Adv-Excel SQL python anaconda numpy Scipy pandas
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Meet Your Mentors

Curriculum

Live Course Self Paced Industry Expert

MS-Excel

1.1 Excel Fundamentals 

  • Reading the Data, Referencing in formulas , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
  • Working with Charts in Excel, Pivot Tables, Dashboards, Data and File Security
  • VBA Macros, Ranges and Worksheets in VBA
  • IF conditions, loops, Debugging, etc.

1.2 Excel For Data Analytics 

  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.

1.3 Data Visualization with Excel

  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles
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2.1 SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, Variables

2.2 Advanced SQL – 

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc.

2.3 Deep Dive into User-Defined Functions

  • Types of UDFs, Inline table value, multi-statement table.
  • Stored procedures, rank function, SQL ROLLUP, etc.

2.4 SQL Optimization and Performance

  • Record grouping, searching, sorting, etc.
  • Clustered indexes, common table expressions.

Hands-on exercise: 

Writing comparison data between the past year and the present year concerning top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future using complex subqueries, functions, and pattern matching concepts.

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Tools covered

SQL

3.1 Introduction to MS Excel & Data Extraction
3.2 Referencing in formulas
3.3 Name range
3.4 Logical functions
3.5 Conditional formatting
3.6 Advanced-level validation
3.7 Important formulas in Excel
3.8 Dynamic table
3.9 Data sorting, filtering
3.10 Chart creation techniques
3.11 Pivot tables in Excel
3.12 Data and file security
3.13 VBA Macros
3.14 Best practices of dashboards visualization
3.15 Creating dashboards
3.16 Creation of interactive components

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Tools covered

excel

4.1 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

4.2 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

4.3 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

4.4 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

4.5 Agile Business Perspectives and Creating UML 

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

4.6 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

4.7 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
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Tools covered

MS-Visio

5.1 Introduction to Power BI
5.2 Data Extraction
5.3 Data Transformation – Shaping & Combining Data
5.4 Data Modelling & DAX
5.5 Data Visualization with Analytics
5.6 Power BI Service (Cloud), Q&A, and Data Insights
5.7 Power BI Settings, Administration & Direct Connectivity
5.8 Embedded Power BI with API & Power BI
5.9 Power BI Advance & Power BI Premium

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Tools covered

Power-BI-1

6.1 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

6.2 CBDA: Introduction

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

6.3 Business Analysis and Data Analytics

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

6.4 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

6.5 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
  • Three-minute story
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7.1 Introduction to Agile Scrum 

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

7.2 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

7.3 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
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Tools covered

JIRA-software

8.1 Class diagram
8.2 Component diagram
8.3 Composite structure diagram
8.4 Deployment diagram
8.5 Object diagram
8.6 Package diagram
8.7 Profile diagram
8.8 Activity diagram
8.9 State machine diagram
8.10 Use case diagram
8.11 Communication diagram
8.12 Interaction overview diagram
8.13 Sequence diagram
8.14 Timing diagram

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9.1 Communication skills
9.2 Leadership skills
9.3 Problem-solving skills
9.4 Business knowledge
9.5 IT knowledge

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

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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, and 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 a 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 the correlation between two variables.

11.6 SciPy for Scientific Computing

  • Introduction to SciPy
  • Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, sub-packages
  • 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 a 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.

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Tools covered

python anaconda Scipy matplotlib pandas

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.

Download Brochure
  • Job Search Strategy
  • Resume Building
  • LinkedIn Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.
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Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.

Program Highlights

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

Project Work

Hear From Our Hiring Partners

Career Services By Intellipaat

Career Services
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Career Oriented Sessions

Throughout the course

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These guided sessions will help you stay on track with your up-skilling objective.

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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 the profile shortlisting stage

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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.

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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 learner’s educational background, past experience, and future career aspirations.

guaranteed

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)

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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 Works At

Hiring-Partners

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, and make new friends – the possibilities are endless and our community has something for everyone!

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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.

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Submit Application

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

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Application Review

An admission panel will shortlist candidates based on their application

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Admission

Selected candidates will be notified within 1–2 weeks

Program Fee

Total Admission Fee

$ 1,799

Apply Now

Upcoming Application Deadline 29th June 2024

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 29th June 2024 08:00 PM - 11:00 PM IST Weekend (Sat-Sun)
Regular Classes 29th June 2024 08:00 PM - 11:00 PM IST Weekend (Sat-Sun)

Frequently Asked Questions

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

The instructors of this course are certified professionals with over twelve years of industry experience in business analysis and product management. There is a rigorous selection process for the instructors of this course.

Intellipaat provides career services that include guaranteed interviews for all the learners enrolled in this course. iHUB DivyaSampark, IIT Roorkee is not responsible for the career services.

This 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 certification from iHUB DivyaSampark, IIT Roorkee.

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 receive your executive post graduate business analysis and product management certification, 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. Recordings of the sessions are available for you to refer to at a time of your convenience 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.

This PG certification is valid for a lifetime and  you can use it showcase your skills.

To be eligible for getting into the placement pool, the learner has to complete the course along with the submission of all projects and assignments. After this, he/she has to clear the Placement Readiness Test (PRT) to get into the placement pool and get access to our job portal as well as the career mentoring sessions.

Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.

Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.

Learners can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay the batch defer fee which is equal to 10% of the total course fees paid for the program + Taxes.

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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