Python for Data Analytics: A 3-Hour Crash Course

Unlock the power of data with Python in this fast-paced course designed for developers, covering essential libraries and techniques for data analysis and machine learning.

Data Wrangling with Pandas

Unit 1: Pandas Fundamentals

Unit 2: Data Selection and Filtering

Unit 3: Data Cleaning and Transformation

Numerical Computing with NumPy

Unit 1: NumPy Fundamentals

Unit 2: Indexing, Slicing, and Reshaping

Unit 3: Numerical Operations and Statistics

Data Visualization with Matplotlib and Seaborn

Unit 1: Matplotlib Fundamentals

Unit 2: Advanced Matplotlib

Unit 3: Seaborn for Statistical Visualization

Predictive Modeling with Scikit-learn

Unit 1: Regression Models with Scikit-learn

Unit 2: Classification Models with Scikit-learn

Unit 3: Model Selection and Tuning