Python for Data Science & Analytics
Pandas, NumPy, visualisation and real-world datasets — from zero to analyst.
What you'll learn
- Clean and analyse data with Pandas
- Visualise insights with Matplotlib and Plotly
- Apply statistics to real business questions
- Build a portfolio of analysis projects
Course content
5 sections · 240 lectures · 6h 55m sample runtime
Getting started6 lectures · 42 min
▷ Lesson 17:00
▷ Lesson 27:00
▷ Lesson 37:00
▷ Lesson 47:00
Core concepts12 lectures · 118 min
▷ Lesson 110:00
▷ Lesson 210:00
▷ Lesson 310:00
▷ Lesson 410:00
Hands-on project9 lectures · 134 min
▷ Lesson 115:00
▷ Lesson 215:00
▷ Lesson 315:00
▷ Lesson 415:00
Going further8 lectures · 96 min
▷ Lesson 112:00
▷ Lesson 212:00
▷ Lesson 312:00
▷ Lesson 412:00
Final quiz & certificate3 lectures · 25 min
▷ Lesson 18:00
▷ Lesson 28:00
▷ Lesson 38:00
Requirements
- A computer or phone with an internet connection
- No prior experience needed — we start from the basics
Instructor
Dr. Neha Kapoor
Data Scientist, PhD
4.7 · 54K students
