Post Graduate Certification in Business Analysis & Product

PG Certification Program in Business Analysis & Product Management 1 | Page

Post Graduate Certification in

Business Analysis & Product Management

By E&ICT MNIT, Jaipur in collaboration with IIBA & IBM


Table of Contents

1. About the Program 2. About E&ICT MNIT, Jaipur 3. Collaborating with IIBA & IBM 4. About Intellipaat 5. Key Features 6. Placement & Career Services 7. Eligibility Criteria & Application Process 8. Learning Path 9. Course Advisors 10. Program Curriculum 11. Certification 12. Success Stories 13. Contact Us


About the Program

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 as well as you will master data analysis with IBM modules and

receive IBM certificate for the same. The course has been carefully brought together by

the Industry experts & top faculty at MNIT.


About E&ICT Academy 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:

Get Live Lectures from the MNIT faculty

Receive PG certificate from E&ICT, MNIT & Intellipaat

Alumni status of E&ICT, MNIT Jaipur

Key Achievement of MNIT, Jaipur:

Ranked 35 in NIRF 2020 Ranking among top engineering colleges

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 the career ladder.

Benefits for students from IIBA

Industry-recognized certification from IBM

Real-time projects and exercises

Earn 35 hrs PDs / CDUs for CBAP

Earn 24 hrs PDs / CDUs for CBDA

About Intellipaat

Intellipaat is one of the leading online training providers with more than 600,000 learners

across 53+ countries. We are on a mission to democratize education as we believe that

everyone has the right to quality education.

Our courses are delivered by subject matter experts from top MNCs and our world-class

pedagogy enables to quickly learn difficult topics in no time. Our 24/7 technical support

and career services will help learners jump-start their careers in their dream companies.


Key Features

7 MONTHS OF LIVE CLASSES 24/7 SUPPORT

20+ REAL-TIME INDUSTRY PROJECTS

30+ CASE STUDIES

PG CERTIFICATION PROGRAM FROM E&ICT MNIT, JAIPUR

PROGRAM IN COLLABORATION WITH IIBA & IBM

INDUSTRY-RECOGNIZED CERTIFICATION FROM IBM

LEARN FROM MNIT

PROFESSORS AND

INDUSTRY EXPERTS


Career Services

Dedicated Learning Manager

Get mentored by experts, receive personalized feedback on your performance, and clarify your doubts in no time

Personalized Industry Mentor

We match your profile with the right industry mentor based on your past skills. Your mentor’s guidance will help you get prepared yourself for your dream job

Mock Interviews

Mock interviews to make you prepare for cracking interviews by top employers

3 Guaranteed Interviews

Upon completion of the assignments and projects, learners will be able to attend interviews arranged by Intellipaat with the hiring partners that includes top startups and MNCs.

Resume Preparation & LinkedIn Profile Building

Get assistance in creating a world-class resume from our career services team


Eligibility Criteria & the Application Process

Those wishing to enroll in the Post Graduate Certification in Business Analysis &

Product Management will be required to follow the admission process mentioned

below.

Eligibility Criteria

For the admission to the Post Graduate Certification in Business Analysis & Product Management, candidates should:

Have a bachelor’s degree with an average of 50% or higher marks

Be working professionals with zeal to build a career in Business Analysis & Product Management

Application Process

The application process consists of three simple steps. Candidates have to submit

their application. An offer of admission will be made to the selected candidates, and

their application will be accepted upon the payment of the admission fee.

SUBMIT APPLICATION

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

APPLICATION REVIEW

Have a personal interview with our interview panel

ADMISSION LETTER

Shortlisted candidates would be offered the admission letter


Learning Path

ELECTIVE COURSE

Data Analysis with Python by IBM


Course Advisors & Faculty

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

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.

Muthusamy Manigandan Head Engineering, Amazon

Mani has 16+ years of experience in working on cloud projects for fortune

500+ companies. He comes with strong architectural and implementation

experience on AWS, Azure, GCP, along with DevOps tools.


Program Curriculum Core Curriculum: Module 1 - Certified Business Analysis Professional (CBAP®)

1.1 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

1.2 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

1.3 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

1.4 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


1.5 Agile Business Perspectives and Creating UML

Introduction to business Agile perspective

Business Intelligence perspective

Information Technology perspective

Business architecture perspective

Business Process Management perspective

1.6 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

1.7 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

Module 2 - Certification in Business Data Analytics (CBDA®)

2.1 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

2.2 CBDA: Introduction

CBDA: Overview

What is Business Data Analytics?

Eligibility criteria

Six Business Data Analytics domains

2.3 Business Analysis and Data Analytics

Business analysis in data analytics projects

Comparison between business analysis and data analytics


2.4 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

2.5 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

Module 3 - Agile Methodologies for Project Management

3.1 Introduction to Agile Scrum

Agile Scrum overview

Agile project principles

Sprint and Increment in Agile Scrum

Scrum theory

Other Agile Frameworks

3.2 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

3.3 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

Module 4 - UML 2.0 4.1 Class diagram

4.2 Component diagram

4.3 Composite structure diagram

4.4 Deployment diagram

4.5 Object diagram

4.6 Package diagram

4.7 Profile diagram

4.8 Activity diagram

4.9 State machine diagram

4.10 Use case diagram

4.11 Communication diagram

4.12 Interaction overview diagram

4.13 Sequence diagram

4.14 Timing diagram

Module 5 - Career Essentials 5.1 Communication skills

5.2 Leadership skills

5.3 Problem-solving skills

5.4 Business knowledge

5.5 IT knowledge

Module 6 - Data Visualization using Tableau

6.1 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

6.2 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

6.3 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

6.4 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

6.5 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

6.6 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

6.7 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

6.8 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

6.9 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

6.10 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

6.11 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

6.12 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

Module 7 - Mastering MS Excel for Business Analysis 7.1 Introduction to MS Excel & Data Extraction

7.2 Referencing in formulas

7.3 Name range

7.4 Logical functions

7.5 Conditional formatting

7.6 Advanced-level validation

7.7 Important formulas in Excel

7.8 Dynamic table

7.9 Data sorting, filtering

7.10 Chart creation techniques

7.11 Pivot tables in Excel

7.12 Data and file security

7.13 VBA Macros

7.14 Best practices of dashboards visualization

7.15 Creating dashboards

7.16 Creation of interactive components

Module 8 - SQL for Business Analytics

8.1 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

8.2 Database Normalization and Entity Relationship Model

Data anomalies

What is normalization?

Types of normalization forms

Entity-relationship model

8.3 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

8.4 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

8.5 Deep Dive into SQL Functions

SQL functions

Scalar and aggregate functions

Inline SQL functions


General and duplicate functions

8.6 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

8.7 SQL Views, Functions, and Stored Procedures

Learning SQL views

Methods of working with views

Stored procedures and their key benefits

Module 9 - Machine Learning for Business 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.

Module 10 - Data Analysis with Python

10.1 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

10.2 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

10.3 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.

10.4 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.

10.5 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.

10.6 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

10.7 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

10.8 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

Module 11 - 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.

CASE STUDIES AND PROJECT WORK

Learners will work on multiple case studies and projects from different domains

as mentioned below:

1. Write Complex Subqueries

Work with SQL subqueries for use in numerous situations. Use queries like IN or NOT

IN, EXISTS or NOT EXISTS, ANY or ALL, etc.

2. Query a Large Relational Database

Work with data types, table basics, SQL functions, and SQL operators to acquire

details of customers by database querying.


3. Calculation of Employee Bonuses

Use the if function to calculate the bonuses of all the employees at 10% of their salary.

Rate the sales employees as per the respective sales and rating scale.

4. Design a Relational Database

Convert relational design consisting of the details of various users, user accounts, user

roles, etc., in the SQL Server table.

5. Deal with Financial Data

Analyze global sales and profit by developing an interactive map, and use map styles

and layers for enhanced visualization.

6. Work with Agricultural Data

Display district-wise data to build an interactive treemap with state labels. The districts

must be displayed by hovering on the respective states.

7. Planning Poker

Each estimator gets a deck of cards and each card has a valid estimate written on it.

Each estimator selects a card as an estimate and the cards are turned over to discuss

differences and re-estimate until estimates converge.

8. Identify the Global Mortality Rate Due to COVID-19

Analyze and create a dashboard to gain insights into the COVID-19 cases. Use a world

map to compare the confirmed cases and death cases worldwide.

9. Work with the Customer Data of the UK Bank

Analyze and create a dashboard to gain insight from the UK bank’s customer data.

Build an asymmetric drop-down consisting of the region and the corresponding user

details


Certification

After the completion of the course, candidates will get certificate from E&ICT

MNIT, Jaipur

Also IBM course completion certificate will be provided

Intellipaat Success Stories


Vishal Pentakota

The best part of this online course is the series of hands-on demonstrations

the trainer performed. Not only did he explain each concept theoretically

but implemented all those concepts practically. Great job! A must go for

beginners.

Shreyashkumar Limbhetwala

I want to talk about the rich LMS that Intellipaat’s training offered. The

extensive set of PPTs, PDFs, and other related course material were of the

highest quality, and due to this my learning with Intellipaat was excellent.

Giri Karnal

I had taken the training course. Since there are so many technologies

involved in this course, getting your query resolved at the right time becomes

the most important aspect. But with Intellipaat, there was no such problem as

all my queries were resolved in less than 24 hours.

Sharath Reddy Yellapati

The course material was very well organized. The trainer explained the

basics of each module to me. All my queries were addressed clearly. The

trainer also made me realize how important this course is for beginners in

the IT stream.


CONTACT US

INTELLIPAAT SOFTWARE SOLUTIONS PVT. LTD.

Bangalore

AMR Tech Park 3, Ground Floor, Tower B, Hongasandra Village, Bommanahalli, Hosur Road, Bangalore – 560068

USA

1219 E. Hillsdale Blvd. Suite 205,

Foster City, CA 94404

If you have any further queries or want to have a conversation with us, then do call us.

IND: +91-7022374614 | US: 1-800-216-8930 E-mail – [email protected]

mailto:[email protected]

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Post Graduate Certification in Business Analysis & Product