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Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Sam Lau, Joseph Gonzalez, Deborah NolanLearning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas.
• Pursue data collection that may involve text processing, web scraping, etc.
• Glean valuable insights about data through data cleaning, exploration, and visualization
• Learn how to use modeling to describe the data
• Generalize findings beyond the data
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