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BestsellerData Science

Data Science with Python

Analyse real datasets with Python, Pandas and visualisation, then build your first predictive models.

Created by Rohan Kapoor

  • Last updated Sept 2026
  • English
  • English, Hindi captions
  • Intermediate level

What you'll learn

  • Clean and transform data with Pandas
  • Visualise insights with Matplotlib and Seaborn
  • Apply statistics to business questions
  • Train and evaluate models with scikit-learn
  • Communicate findings with dashboards
  • Complete an end-to-end data project

Skills you'll gain

  • Python
  • Pandas
  • Statistics
  • scikit-learn
  • Visualisation

Requirements

  • Basic Python syntax
  • High-school level maths

Who this course is for

  • Aspiring data analysts and scientists
  • Engineers adding data skills

Description

Learn the full data workflow on messy, real-world data: cleaning, exploring, visualising, modelling and presenting results to stakeholders.

Sections
6
Lessons
238
Hours of video
43
Projects
2

Course curriculum

6 sections 238 lessons 42h 40m total length

  • Video: NumPy arrays7m
  • Video: Jupyter workflow10m
  • Video: Functions for analysis8m
  • Video: Working with files11m
  • + 26 more lessons in this section

Projects you'll build

Real, portfolio-ready work. Each project is reviewed against a checklist so you know it meets a professional bar.

  1. Project 01

    Sales insights report

    Clean a retail dataset and present the five insights that matter.

  2. Project 02

    Churn prediction model

    Predict which customers will leave and explain why.

Certificate

Earn a certificate employers can verify

  • Issued when you finish every lesson and the final project
  • Unique ID with a public verification page
  • Add it to LinkedIn and your resume in one click
See a verified certificate

Your instructor

Portrait of Rohan Kapoor

Rohan Kapoor

Data Scientist & ML Engineer · 8 years in industry

  • 4.8 instructor rating
  • 29.1K reviews
  • 164K students
  • 4 courses

Rohan builds machine learning systems in production and loves making maths feel practical.

Expect real datasets, clear explanations and models you actually deploy, not just notebooks.

  • Python
  • Data Science
  • Machine Learning
  • SQL
  • Statistics
View full profile

Learner reviews

4.8

Course rating · 10.1K ratings

Rated 4.8 out of 5 from 10100 ratings.
  • 5stars84%
  • 4stars14%
  • 3stars2%
  • 2stars0%
  • 1star0%
  • Ananya Sharma

    5 out of 5 stars,

    The projects made all the difference. I finally understand how the pieces fit together and I have a portfolio I am proud of.

  • Karthik R.

    5 out of 5 stars,

    Clear explanations, no fluff. Every module ends with something practical, which kept me motivated through the whole course.

  • Meera Iyer

    4 out of 5 stars,

    Great structure and very approachable for beginners. A few lessons could be shorter, but the Q&A support was excellent.

  • Vikram S.

    5 out of 5 stars,

    I used the capstone project in my interviews and landed my first developer role. Worth every rupee.

  • Sana Q.

    5 out of 5 stars,

    Loved the pacing and the quizzes. The downloadable resources are genuinely useful at work.

Showing the 5 most recent of 10.1K reviews.

Frequently asked questions

Intermediate level. Before you start: Basic Python syntax; High-school level maths. Everything else is taught step by step inside the course.

Still have a question? Visit the Help Center or contact us.

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