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Data Science

Python for Data Analysis

Clean, explore and visualise real datasets with pandas and matplotlib.

51 learners

Created by Daniel Okafor · Updated October 22, 2026

  • Intermediate
  • 45 min total
  • 9 lessons
  • Self-paced

What you’ll learn

  • Load CSV and Excel data into pandas DataFrames
  • Clean missing values, wrong types and duplicates
  • Group, aggregate and join data to answer business questions
  • Create clear charts with matplotlib
  • Share your analysis as a reproducible notebook

Course content

3 sections · 9 lessons · 45 min

Getting data in3 lessons · 12 min
  • Setting up Jupyter and pandasVideo · 10 min
  • DataFrames in five minutesReading · 1 min
  • Selecting and filteringReading · 1 min
Cleaning data3 lessons · 18 min
  • A real cleaning sessionVideo · 16 min
  • Missing valuesReading · 1 min
  • Types and duplicatesReading · 1 min
Analysis and charts3 lessons · 15 min
  • groupby: the analyst's favourite toolVideo · 13 min
  • Grouping and aggregatingReading · 1 min
  • Charts that make a pointReading · 1 min

Requirements

  • Basic Python (variables, loops, functions)
  • Python 3 with Jupyter or VS Code

Description

Learn the Python workflow analysts use every day: load a messy dataset, clean it, ask questions of it and turn the answers into clear charts. You'll work with a public dataset throughout, so every technique is practised on realistic data. The course assumes you've written a little Python before. If you can write a loop and a function, you're ready.

Instructor

Daniel Okafor

Data scientist · Analytics lead

  • 4.5 instructor rating
  • 28 reviews
  • 64 learners
  • 2 courses

I work with data every day, from messy spreadsheets to production analytics. Before that I taught statistics. I focus on the techniques that answer real business questions, practised on realistic datasets.

4.4 course rating · 17 reviews

5 ★59%
4 ★24%
3 ★18%
2 ★0%
1 ★0%
  • Sofia Chen · Oct 22, 2026

    Loved the reading notes, easy to come back to later.

  • Aditya Clarke · Oct 22, 2026

    Clear and friendly teaching style.

  • Mei Rossi · Oct 22, 2026

    Useful and to the point. I'd recommend it to colleagues.

  • Rohan Menon · Oct 22, 2026

    Practical from the very first lesson.

  • Leila Banerjee · Oct 22, 2026

    Decent introduction, but I already knew most of it.

  • Sneha Smith · Oct 22, 2026

    Decent introduction, but I already knew most of it.

  • Neel Singh · Oct 22, 2026

    Well structured and easy to follow. Exactly what I needed.

  • Ingrid Kim · Oct 22, 2026

    The instructor explains things really clearly.

  • Ishaan Wang · Oct 22, 2026

    Practical from the very first lesson.

  • Isha Garcia · Oct 22, 2026

    Very practical; the dataset kept it interesting.

  • Alex Ahmed · Oct 22, 2026

    Practical from the very first lesson.

  • Tara Iyer · Oct 22, 2026

    Good, though a bit basic for my level.

  • Amara Rao · Oct 22, 2026

    Well structured and easy to follow. Exactly what I needed.

  • Karan Hassan · Oct 22, 2026

    Daniel's chart advice improved every report I send.

  • Adaeze Chen · Oct 22, 2026

    Great pace. A little more on joins would make it perfect.

  • Pablo Murphy · Oct 22, 2026

    groupby finally makes sense. I use it daily now.

  • Liam Costa · Oct 22, 2026

    The cleaning session was exactly what real work looks like. Brilliant.