--For dummies

Includes index

"Learning Made Easy" -- Front cover

Discovering the match between data science and Python -- Introducing Python's capabilities and wonders -- Setting up Python for data science -- Working with Google Colab -- Working with Jupyter Notbook -- Working with real data -- Processing your data -- Reshaping data -- Putting what you know into action -- Getting a crash course in Matplotlib -- Visualizing the data -- Stretching Python's capabilities -- Exploring data analysis -- Reducing dimensionality -- Clustering -- Detecting outliers in data -- Exploring four simple and effective algorithms -- Performing cross-validation, selection, and optimization -- Increasing complexity with linear and nonlinear tricks -- Understanding the power of many -- Ten essential data resources -- Ten data challenges you should take

"Python for Data Science for dummies lets you get your hands dirty with data using one of the top programming languages. This beginner's guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples" -- Provided by publisher