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Data Science with Python

Clean, analyse and chart data with NumPy, pandas and matplotlib, right in your browser.

32 free lessons Beginner to Advanced Covers NumPy 2.4, pandas 3.0, matplotlib 3.10

Start the first lesson

Getting Started

  1. 1Data Science Introduction
  2. 2Tools & Setup

NumPy

  1. 3NumPy Arrays & dtypes
  2. 4Indexing & Slicing Arrays
  3. 5Vectorised Operations & Aggregation
  4. 6Broadcasting
  5. 7Random Numbers & Simulation

pandas Basics

  1. 8pandas Series
  2. 9pandas DataFrame
  3. 10Reading CSV, Excel & JSON
  4. 11Inspecting Data
  5. 12Selecting & Filtering Data

Data Cleaning

  1. 13Handling Missing Values
  2. 14Fixing Types, Duplicates & Text
  3. 15Finding & Handling Outliers

Transforming Data

  1. 16Dates & Time Series
  2. 17GroupBy & Aggregation
  3. 18Merge, Join & Concat
  4. 19Reshaping: pivot_table, melt & crosstab
  5. 20apply, map & Vectorisation

Visualisation

  1. 21Matplotlib Basics
  2. 22Chart Types
  3. 23Subplots & Styling
  4. 24Telling a Story with Charts

Statistics

  1. 25Descriptive Statistics
  2. 26Correlation
  3. 27Probability Distributions
  4. 28Sampling & the Central Limit Theorem
  5. 29Hypothesis Testing Basics

Modern Tools & Project

  1. 30What's New in pandas 3.0
  2. 31Seaborn, Plotly & Polars
  3. 32Project: Sales Data EDA

Learn Data Science with a mentor

Free lessons get you started. Our Data Science & Machine Learning training adds real projects and code reviews from working developers.

  • Project-based learning
  • Mentor code reviews
  • Free counselling call
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