Offers a comprehensive introduction to Data Science, covering Python, Numpy, Pandas, Matplotlib, and Scikit-learn, with a focus on practical exercises and collaborative work.
Introduces Jupyter Notebook for composing interactive programs with live code and narrative text, covering installation, code cells, Markdown text, widgets, and kernel management.
Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.