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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekends

Course Overview

The online course on PG Certification in Business Analysis & Product Management by Intellipaat has been formulated by the industry experts. The course provides the students with a unique opportunity for self-paced learning. The students will get their certificates from E&ICT Academy, MNIT, and Intellipaat. Over seven months, students will study the details of business analysis. The PG Certification in Business Analysis & Product Management syllabus includes the chapters of NumPy, Python variables, Python script, SciPy, Matplotlib, Pandas, Python, Linear regression techniques, Logistic regression techniques, Ensemble techniques, Supervised learning, Unsupervised learning, and other topics related to Business analysis. The students will get 24/7 support and expert guidance. In the PG Certification in Business Analysis & Product Management course, students will also get career support and guidance.

The Highlights

Course offered by Intellipaat
60+ Live sessions
3 Guaranteed Interviews & 1:1 Mentor Support
134 Hrs Self-paced Videos
PG Certification by E&ICT Academy, MNIT and Intellipaat
Live classes from MNIT faculty
24*7 Support
Executive Alumni Status
Alumni status of E&ICT, MNIT
7 Months of Live Classes
30+ Case studies
Resume building
Linkedin Profile building

Important dates

Other

Start Date : 23 Feb, 2025

Other

Start Date : 23 Feb, 2025

Other

Start Date : 23 Feb, 2025

Programme Offerings

Live Lectures
Case Studies
Project
Exercises
videos
Interviews
Mentor Support
Alumni Status.

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	MNIT Jaipur

PG Certification in Business Analysis & Product Management fee details -

Head	Amount in USD
Total Admission Fees	$ 1,799

Eligibility Criteria

Education

Candidates aiming to apply to this programme must have a bachelor's degree and should have achieved an average of 50% or higher.

Work Experience

Candidates should be working professionals passionate about making a career in Product Management and Business Analysis.

Certification Qualification Details

After completing the PG Certification in Business Analysis & Product Management online course the students will be awarded a Post-graduate certificate from E&ICT MNIT, Jaipur. The candidates will also be getting a Microsoft and IBM course completion certificate. Apart from the completion of the programme, candidates have to complete all the projects, exercises, and assignments successfully as well.

What you will learn

Statistical skills

The students, upon completion of the PG Certification in Business Analysis & Product Management syllabus, will learn about the following-

The students will study generating plots
Candidates in the course will study ways to analyze the relationship with regression
The Logistic regression techniques are also included in the course module
The importance of Software Engineering for Data Science will also be included in the course curriculum
The fundamentals of PySpark and its real-world applications are also included

Who it is for

The PG Certification in Business Analysis & Product Management training will help the following students:

Sales professionals
IT Professionals
Professionals who are looking forward to making a career in product management and business analysis
Freshers
Graduates seeking opportunities to build a career in business analysis and product management

Admission Details

For the students who want to apply for the PG Certification in Business Analysis & Product Management training, the following steps need to be followed:

Step 1: The students have to click the provided URL to generate the application form - https://intellipaat.com/pg-certification-business-analysis-project-management-mnit/

Step 2: The students have to click on the “Enroll Now” button.

Step 3: The applicants then have to click the necessary details that have been asked for.

Step 4: After providing all the details, students have to submit the application form.

After submission of the form, the student’s application form will be reviewed by the authority, and the selected candidates will be notified within one-two week.

Application Details

To apply in the PG Certification in Business Analysis & Product Management online course, students need to provide the listed details:

Name
Contact details
Mail id
Work experience
Upskills experience

The Syllabus

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 Table, Dashboards, Data And File Security
VBA Macros, Ranges and Worksheet in VBA
IF conditions, loops, Debugging, etc.

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.

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

SQL Basics

Fundamentals of Structured Query Language
SQL Tables, Joins, Variables

Advanced SQL

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

Deep Dive into User Defined Functions

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

SQL Optimization and Performance

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

Hands-on exercise

Introduction to MS Excel & Data Extraction
Referencing in formulas
Name range
Logical functions
Conditional formatting
Advanced-level validation
Important formulas in Excel
Dynamic table
Data sorting, filtering
Chart creation techniques
Pivot tables in Excel
Data and file security
VBA Macros
Best practices of dashboards visualization
Creating dashboards
Creation of interactive components

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

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

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

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

Agile Business Perspectives and Creating UML

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

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

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

Introduction to Power BI
Data Extraction
Data Transformation – Shaping & Combining Data
Data Modelling & DAX
Data Visualization with analytics
Power BI Service (Cloud), Q&A, and Data Insights
Power BI Settings, Administration & Direct Connectivity
Embedded Power BI with API & Power BI
Power BI Advance & Power BI Premium

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

CBDA: Introduction

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

Business Analysis and Data Analytics

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

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

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

Introduction to Agile Scrum

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

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

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

Class diagram
Component diagram
Composite structure diagram
Deployment diagram
Object diagram
Package diagram
Profile diagram
Activity diagram
State machine diagram
Use case diagram
Communication diagram
Interaction overview diagram
Sequence diagram
Timing diagram

Communication skills
Leadership skills
Problem-solving skills
Business knowledge
IT knowledge

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

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

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.

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.

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.

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

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

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

Evaluation process

Candidates are requested to clear all the tests, quiz and assignments to successfully complete this programme. After successful completion, they will be awarded a certificate of completion.