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Python & Data Science

Python Data Scientist Path

Twenty progressive levels from first line of code to portfolio and paid application.

← Python & Data Science
In DevelopmentFoundation20 levels

What you'll be able to do

  • Write clean Python with functions, files and control flow
  • Analyse and clean real datasets with Pandas and NumPy
  • Visualise findings and apply core statistics
  • Build, evaluate and explain a machine learning model
  • Publish portfolio projects and apply for work or freelance contracts

Curriculum outline

Progressive Path

  1. 01Computer & Programming Concepts
  2. 02Python Setup
  3. 03Variables
  4. 04Data Types
  5. 05Conditions
  6. 06Loops
  7. 07Functions
  8. 08Files
  9. 09Pandas
  10. 10NumPy
  11. 11Data Cleaning
  12. 12Visualization
  13. 13Statistics
  14. 14SQL Integration
  15. 15Machine Learning Foundations
  16. 16Model Building
  17. 17Model Evaluation
  18. 18Portfolio Projects
  19. 19GitHub
  20. 20Employment / Freelance Application

ACADEMY MEMBERSHIP

One membership covers everything currently available across the nine programs, plus every new course as it is released. The curriculum expands over time — courses marked Coming Soon or In Development are not yet available.

$49/month

or $497/year — two months free

Join the Academy

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