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