Data Scientist

Python plus the numeric computing stack, for building models and analyzing complex data.

This is a learning roadmap: a suggested order through real guides, courses, and projects. It is not a certifiable, assessed course path.
Who it's for
Someone comfortable with Python who wants to move into modeling and statistical analysis.
Expected outcome
Able to use NumPy, Pandas, and SciPy together to analyze data and understand machine learning fundamentals.
10-14 weeks, self-pacedPythonNumPy/Pandas/SciPyMachine learning fundamentals

Steps

  1. Python FundamentalsCourseNot started
  2. NumPy guideGuideNot started
  3. Pandas guideGuideNot started
  4. SciPy guideGuideOptionalNot started
  5. Machine Learning guideGuideNot started

Milestones

  • Comfortable with the NumPy/Pandas data stack
  • Understand machine learning fundamentals