Data Science Course Near Mehrauli, Delhi
Build a Career in the Field Every Industry Is Hiring For

Almost every business of meaningful size stores its data in a database. SQL is the language used to query that data — extracting exactly the information you need rather than waiting for someone else to generate a report. You'll learn to write queries that filter, join, and aggregate data from real business scenarios, a skill that's non-negotiable for any data role.

Raw numbers rarely persuade anyone. A clear chart often does. This module teaches you how to build interactive dashboards in Tableau and Power BI — tools used across industries to communicate findings to non-technical stakeholders. You'll work on real datasets, building dashboards that someone in a business meeting could actually use to make a decision.

Python is the core programming language of modern data work. The course builds your Python skills from the ground up — variables, loops, functions — before moving into the libraries that matter most for data science: Pandas for data manipulation, NumPy for numerical computation, and Matplotlib for visualisation. By the end, you'll be comfortable cleaning messy datasets and extracting insights programmatically.

Beyond the basics, you'll work with more advanced Python concepts and statistical methods — probability, hypothesis testing, and regression analysis — the mathematical foundation that machine learning is built on. This is where data science starts to separate from simple spreadsheet analysis.

This is where prediction enters the picture. You'll learn supervised and unsupervised learning techniques — building models that can predict customer churn, classify data into categories, or forecast trends based on historical patterns. The training uses real datasets so you understand not just how an algorithm works, but when to use which one and why.

Deep learning extends machine learning into neural networks — the technology behind image recognition, language models, and recommendation systems. You'll get hands-on exposure to building and training neural networks, along with practical AI applications that are increasingly relevant across every industry, from retail to healthcare to finance.