Learn Python from basics to advanced data analysis. Work with pandas, NumPy, visualizations, statistics, and build real-world data analysis projects.
Environment setup, Python crash course, syntax and fundamentals
CSV, Excel, SQL, APIs - read and write data from any source
Time & text data, missing values, NumPy, pandas DataFrames
EDA workflows, distributions, relationships between features
Modeling, regression, reproducible analysis
Matplotlib, Seaborn, Plotly for interactive visualizations
Introduction to ML concepts and implementation
End-to-end EDA and driver analysis project
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