Prerequisites: Foundational Python skills

Level: Intermediate

What You'll Learn

• Advanced Python Techniques

  Apply intermediate Python features like comprehensions, generators, decorators, and OOP principles relevant to data science.

• Numerical Computation with NumPy

  Perform efficient array operations, indexing, slicing, broadcasting, and linear algebra using NumPy.

• Data Manipulation with Pandas

  Utilize Pandas Series and DataFrames for loading, cleaning, transforming, grouping, and merging datasets.

• Data Visualization

  Create informative static plots using Matplotlib and Seaborn for data exploration and communication.

• Data Preparation for ML

  Implement common data preprocessing steps such as feature scaling, encoding categorical data, and splitting datasets.

• Efficient Python Code

  Write cleaner, more efficient, and maintainable Python code following best practices for ML projects.