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Murach’s Python for Data Science (2nd Edition)
Murach’s Python for Data Science starts by covering everything your students need to hit the ground running when using Python for data science. First, it presents a crash course in using the Pandas and Seaborn libraries for data analysis and visualization. Then, it presents a thorough course in data analysis, including how to use the Scikit-learn library to create statistical models that make predictions. Finally, it presents four real-world case studies that tie all the coursework together.
Now available as a Canvas course!
The Canvas course file contains all the objectives, quizzes, assignments, and slides that you need to run an effective course. It only takes a few clicks to import it into the Canvas LMS. Then, you can customize it for your course when it is available. Learn more.
The text was perfect for my class. It provided a solid foundation for my students in using the Pandas and Seaborn libraries. I really appreciated the four case studies. They were a big help for my students as they illustrated all phases of data analysis and visualization.”
J. Jasperson – Texas A&M University
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Murach’s Python Programming (2nd Edition)
Murach’s R for Data AnalysisMurach college books and courseware since 1974
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