Python for Data Science and Analytics

Master data science with Python. Learn data cleaning, visualization, statistics, exploratory data analysis (EDA), and predictive modeling with real projects.

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Last updated 08/2026 English/Hindi 4.5

Course Description

Data Science is one of the most in-demand skills across industries like finance, healthcare, e-commerce, and technology. This course takes learners from data fundamentals to advanced analytics using Python.

You'll learn NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization. Then, you'll dive into statistics, hypothesis testing, machine learning basics, and predictive analytics.

With live mentor-led coding workshops for project guidance and pre-recorded tutorials for technical deep dives, this hybrid course ensures learners not only understand theory but also apply skills to real-world projects.

By the end, you'll have built multiple projects, including a capstone predictive analytics project.

Target Audience

Beginners wanting to start a career in data science
Python learners moving into analytics
Students preparing for internships/jobs in AI/ML
Professionals upskilling for data-driven roles

Prerequisites

Python programming basics (variables, loops, functions, OOP)
Basic math & statistics recommended

Learning Outcomes

By completing this course, learners will:

Use NumPy & Pandas for data cleaning and manipulation
Visualize data with Matplotlib & Seaborn
Perform statistical analysis and hypothesis testing
Conduct exploratory data analysis (EDA)
Build predictive models using Scikit-Learn
Apply real-world analytics in domains like business, finance, and marketing
Present insights with data storytelling techniques

Live Components

Weekly mentor-led EDA & ML project reviews
Group data analytics projects
Capstone project presentation with feedback

Pre-recorded Access

Tutorials for NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn
Ready-to-use datasets & Jupyter notebooks
Revision videos for each module

Course content

Learning Path

0 Modules • Click a step to explore

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Course requirements

Laptop/PC

A personal computer is essential for hands-on practice and project work.

Coding Basics

Knowing basic coding helps you understand how to give instructions to a computer and build simple programs.

Discipline

Empowering learners with future-ready skills, critical thinking, creativity, and practical knowledge across technology, business, arts, and emerging disciplines.

Internet Connection

Stable Internet with at least 2 Mbps speed for smooth video streaming and interactive content.

Instant Academic Support

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Talk to our expert mentors directly or book a personal 1-on-1 counseling session to clear all your doubts.

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Pre-recorded Access

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Laptop/PC

Coding Basics

Discipline

Internet Connection

Have Doubts? Get Answers In Real-Time!

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