Quick Facts

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

Course Overview

“Post Graduate Program in Data Analytics” training is a short course that is online and provided as an initiative taken by Purdue University and in cooperation with IBM. This course has been awarded as the World’s number 1 Online Bootcamp for Data Analytics. The “Post Graduate Program in Data Analytics” certification syllabus gives extensive knowledge of key technologies and skills most recently used in analytics of data and data science, including Python, R, tableau, statistics, SQL, Power BI, and many more.

Purdue University is one of the world's leading research and teaching institutions, so the “Post Graduate Program in Data Analytics” Certification by Purdue University will impart education with the best standards. This will enable candidates to achieve success on their journey towards learning Data Analytics. Once the course is complete, there is a 23% annual growth in job openings. Again the best part is that it can be done even while being an individual who is working, without having to compromise his or her work.

The Highlights

Short-Term Course in Data Analytics
8 months online program
Simplilearn & Purdue University Certification
Recognized certifications from IBM and Simplilearn
Membership of Purdue Alumni Association
Lifetime access to core Simplilearn content

Programme Offerings

Learner Diversity
Up-to-date curriculum
Master Classes by world-class faculty
JobAssist Program
Alumni Association membership
Exclusive hackathons
Purdue University & IBM initiative.
8 months online program

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Purdue University, West LafayetteIBM

Post Graduate Program in Data Analytics Fee Structure :

Course name	Amount
Post Graduate Program in Data Analytics	Rs. 1,49,999 + GST

Eligibility Criteria

Educational Qualification

A candidate must surely have a bachelor's degree with 50% marks.
A candidate may or may not be from a programming or non-programming background.

Work Experience

Prior work experience is not mandatory for any candidate.

Certification Qualifying Details

Candidates will be in possession of the certificate only after they take part in lectures and assignments.

What you will learn

Data science knowledgeKnowledge of Data VisualizationTableau knowledgeKnowledge of PythonR Programming

After studying the “Post Graduate Program in Data Analytics” online course, candidates will be able to:

Get a comprehensive view of the entire Data Analytics domain
Learn the important, and latest technologies, and skills required in Data Analytics like Statistics, Python, R, Tableau, SQL, and Power BI

Who it is for

Any working professional who is ready to take on the role of a Data Analytics professional, or anyone who is interested to obtain new skills and expand their knowledge for a path to career growth can definitely opt for the “Post Graduate Program in Data Analytics” course by Purdue University, and IBM.

Admission Details

To get admission into the “Post Graduate Program in Data Analytics” certification, a candidate should see these steps down below:

Step 1: To know more, go to the course website.

Step 2: Then fill the application form with details, and submit it.

Step 3: The application will be scrutinized by esteemed panellists.

Step 4: then selected candidates will be granted after fee payment and then the student can start within 2 weeks

Application Details

Filling of Application forms is required for the “Post Graduate Program in Data Analytics” course. To initiate your application for the “Post Graduate Program in Data Analytics” in partnership with Purdue University, create an account by entering the full name, email address, phone number, and work experience.

The Syllabus

Get started with this Data Analytics, GenAI and Adaptive Systems program in partnership with IHFC – TIH of IIT Delhi.

Introduction to Business Analytics
Excel in Business Analytics
Conditional Formatting and Essential Functions
Statistical Data Analysis
Analysis With Pivot Tables
Dashboard Creation
Power BI

Fundamental SQL Statements
Database Restoration and Back-Up
Filtering With Selection Commands
Ordering in Selection Commands
Understanding Joins
Execution of Subqueries
Usage of Views & Indexes

ETL Fundamentals
Data Extraction
Data Transformation
Data Mapping and Conversion
ETL Tools and Technologies
Data Loading
Batch and Real-Time ETL
Error Handling and Logging
Performance Optimization
Automation
Monitoring and Maintenance

Introduction to Data Visualization
Data Organization in Tableau
Creating Charts and Dashboards
Working with Filters, Parameters, and Sets
Heat Maps, Treemaps, and Pareto Charts
Designing Interactive Dashboards

Programming Fundamentals
Python Data Types and Operators
Conditional Statements and Loops in Python
Introduction to Python
Python Functions

Python Packages for Data Analytics
Categorical Data and Working With Text Data
Hypothesis Testing Mechanism
Statistical Functions
Explorative Data Analysis (EDA)
Data Visualization

Machine Learning and Generative AI Basics
Types of Machine Learning: Supervised, Unsupervised and Reinforcement Learning
Generative AI Algorithms: Neural Networks, GANs, Transformers
Large Language Models and Chatbots
Image Generation: GANs, Diffusion Models, VAEs & Hands-on Tools
Video Generation: Architectures & Hands-On Tools
Open-Source AI Model Landscape: Hugging Face and AI Marketplaces
Prompt Engineering: Chatbot Prompts, OpenAI Playground, Image Generation Prompts

Overview of Generative AI in Data Analytics
Data Augmentation Using Generative AI
Generative AI for Tailored Data Visualization
Generative AI in Data Exploration
AI-Optimized ETL Processes
Generative AI in Data Modeling and Forecasting
Challenges in Integrating Generative AI
Future Directions in Generative AI

Introduction to Data Ethics
Legal and Regulatory Frameworks
Data Privacy and Security Protocols
Bias in Data and Algorithms
Ethical Decision-Making in Analytics
Responsible Data Visualization
Societal Implications of Data Analytics

After completing the DA and GenAI courses, you undertake a capstone project to put your new skills into action. With mentor support, you utilize Excel, Python, SQL, Tableau, and other tools to address real-world data challenges. This culminating project represents the pinnacle of your training and offers a chance to demonstrate your expertise to potential employers in a practical context.

Electives:

Led by IHFC - TIH of IIT Delhi associated faculty, this masterclass explores how adaptive systems respond to changing environments and uncertainty. Through a mix of theory and hands-on sessions, you’ll learn control strategies, software adaptation, and real-world applications in aerospace, robotics, and industrial systems, equipping you to design and deploy robust, adaptive solutions.

Electives:

This masterclass explores agentic AI systems in analytics, focusing on designing autonomous agents that gather, process, and act on data. Learn to automate tasks like data prep, feature selection, anomaly detection, and real-time insights. With hands-on demos and case studies, you'll build ethical agentic solutions for predictive modeling and self-driving analytics, while staying updated on trends in autonomous decision-making

Electives:

This course equips you with the skills to perform advanced data analysis and create interactive dashboards using Power BI. You'll learn to address business challenges by building responsive dashboards, leveraging Quick Insights, and utilizing natural language Q&A for actionable visualizations. The program also covers best practices in report design, setting up data alerts, and resolving common issues, enabling you to optimize workflows and deliver impactful, data-driven narratives.

Electives:

ChatGPT said: This course introduces R, a key language in data science and analytics. Learn to set up R, RStudio, and essential packages while building skills in programming, data wrangling, and visualization. Master core statistical concepts, hypothesis testing, regression models, and clustering techniques to unlock R’s full potential for actionable insi

Electives:

This course covers key data concepts and Microsoft Azure’s data services, including relational/non-relational databases, big data, and analytics. You'll explore Azure’s storage solutions, Cosmos DB, data warehousing, real-time analytics, and visualization—gaining the skills to manage and analyze data efficiently on the Azure platform.

Instructors

Purdue University, West Lafayette Frequently Asked Questions (FAQ's)

1: How are the instructors selected for the “Post Graduate Program in Data Analytics” course?

Any instructor who is teaching a “Post Graduate Program in Data Analytics” program is a Business Intelligence expert with many years of relevant industry experience.

2: How to know if the “Post Graduate Program in Data Analytics” program is the right choice for me?

The “Post Graduate Program in Data Analytics” online course is developed in partnership with Purdue University that hosts the perfect mix of curriculum and industry-aligned training facilities.

3: What is covered under 24*7 Promises of the “Post Graduate Program in Data Analytics”?

24/7 support basically consists of facilities like email, chat, and calls that are attended by a dedicated team that provides all-time assistance.

4: Can I join the “Post Graduate Program in Data Analytics” course if I don’t have any programming background?

There are no mandatory requirements for any student to have a programming background for joining the “Post Graduate Program in Data Analytics”.