Python for data science

Getting started with data science and Python. Discovering the match between data science and Python ; Introducing Python's capabilities and wonders ; Setting up Python for data science ; Working with Google colab

Getting your hands dirty with data. Working with Jupyter notebook ; Working with real data ; Processing your data ; Reshaping data ; Putting what you know into action

Visualizing information. Getting a crash course in Matplotlib ; Visualizing the data

Wrangling data. Stretching Python's capabilities ; Exploring data analysis ; Reducing dimensionality ; Clustering ; Detecting outliers in data

Learning from data. Exploring four simple and effective algorithms ; Performing cross-validation, selection, and optimization ; Increasing complexity with linear and nonlinear tricks ; Understanding the power of the many

The part of tens. Ten essential data resources ; Ten data challenges you should take.