Postgraduate Program
Data Science, Data Engineering & AI
University Partner
Aligned With
3 Assured Interviews
Eligibility
Graduate
Duration
10 Months
Application Deadline: May 24, 2025
See what you’ll learn
200+ hours of live expert-led sessions
Master AI-powered tools like GPT, Azure, Spark
Capstone project in collaboration with HarvardX
Your learning roadmap
Job-ready Curriculum
SKILLS COVERED
Data Analytics & Visualization
Statistical Modeling & Hypothesis Testing
Machine Learning
Big Data & Cloud Technologies
Generative AI & LLM Integration
SQL & NoSQL Databases
Deep Learning
Feature Engineering
Predictive Analytics
Data Analytics & Business Problem Solving
- Understanding the role of data in decision-making.
- Types of analytics: Descriptive, Diagnostic, Predictive, and Prescriptive.
- Introduction to data sources, structured vs. unstructured data.
- Real-world applications in industries like finance, retail, and supply chain.
Fundamentals of Python & SQL
- Python for data analysis – Basic programming, loops, functions, data structures.
- SQL for data management – Extract, filter, sort, and join datasets from databases.
- Combining Python & SQL for real-world business applications.
Master industry-relevant tools
200+ hours of live expert-led sessions
Master AI-powered tools like GPT, Azure, Spark
Capstone project in collaboration with HarvardX
Personalized career guidance to help you rise, stand out, and succeed.
Build Your Brand, Get Noticed
Shape a standout CV and LinkedIn profile that capture attention and open doors.
Ace Every Interview
Sharpen your skills with mock interviews and expert feedback to confidently own the room.
Personalized Career Coaching
Work 1:1 with mentors to set goals, overcome roadblocks, and fast-track your career growth.
FREQUENTLY ASKED QUESTIONS
Still wondering this Program is Right for You?
Curriculum
Projects
Tools
Yes! This program is designed with beginners in mind, meaning you won’t be thrown into complex concepts without proper guidance.
We start by answering the most basic questions:
- What is data analytics, and why is it important?
- How do businesses use data in decision-making?
- What are the different types of analytics? (Descriptive, Predictive, and Prescriptive)
- Our approach is gradual and structured. The first few modules focus on understanding data, learning about business applications, and developing a data-driven mindset. Only once you’re comfortable, we introduce coding, visualization, and machine learning—step by step, so you never feel overwhelmed.
Think of this program as a ladder:
- Each module is a small step forward, making sure you build a strong foundation before moving to more advanced topics.
How we make it beginner-friendly:
- Simple, clear explanations—no technical jargon.
- Guided exercises with detailed walkthroughs.
- Real-world business examples to make concepts relatable.
- Learning support and Q&A sessions when you need help.
- By the time you reach the advanced sections, you’ll have built confidence in working with data and will be solving real business problems.
