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This Murach book teaches you how to analyze data from a wide variety of sources using Python. It gets you started the right way by showing you how to use Pandas for data analysis and Seaborn for data visualization, with JupyterLab as your IDE. Then, it helps you master descriptive analysis by teaching you how to get, clean, prepare, and analyze data, including time-series data. Next, it gets you started with predictive analysis by showing you how to use linear regression models to predict unknown and future values. And to tie everything together, it gives you 4 real-world case studies that show you how to apply your new skills to political, environmental, social, and sports analytics. All along the way, Murach's distinctive \"paired pages\" format makes it easy for you to learn new skills quickly, review what you've learned, and look up details you've forgotten. A great way to add data analysis to your skillset! |
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