Data·20h
Data Science with Python
The foundational stack every data role asks for.
PythonPandasNumPyscikit-learnMatplotlib
First module free · Premium+ unlocks the rest
1
active job openings in your country asking for this skill
About this course
Python, Pandas and scikit-learn remain the industry-standard toolkit for data work in 2026. This course covers the full analytics workflow: cleaning messy data, exploring it visually, building predictive models and communicating findings to stakeholders.
What you'll learn
- Wrangle real-world datasets with Pandas (joins, groupbys, time series).
- Visualise data effectively with Matplotlib and Seaborn.
- Build and validate classification and regression models with scikit-learn.
- Handle missing data, outliers and class imbalance properly.
- Interpret model results and explain them to non-technical stakeholders.
- Move analysis from notebook to reproducible script.
Roles this course opens up
Typical job titles that ask for this skill.
Data Scientist
Data Analyst
Business Intelligence Analyst
Quantitative Analyst
ML Engineer
How access works
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