000 02172nam a2200205Ia 4500
003 NUBLRC
008 241210s9999 xx 000 0 und d
020 _a978-1-943872-76-3
040 _cNUBLRC
050 _aGC QA 76.73 .P98 .M33 2021 c.1
100 _aMccoy, Scott
245 0 _aMurach's python for data analysis :
_btraining and reference
_cMccoy, Scott
260 _aCalifornia :
_bMike Murach & Associates, Inc.,
_cc2021
300 _axviii, 559 pages ;
_bcolor illustrations ;
_c26cm.
365 _bUSD 32.79
504 _aIncludes index
505 _aSection 1. Get off to a fast start -- Section 2. The Critical skills for success on the job -- Section 3. An introduction to predictive analysis -- Section 4. The case studies.
520 _a"Data is collected everywhere these days, in massive quantities. But data alone doesn't do you much good. That's why data analysis -- making sense of the data -- has become a must-have skill in the fields of business, science, and social science. But it's a tough skill to acquire. The concepts are challenging, and too many books and online tutorials treat only parts of the total skillset needed. Now, though, Murach's Python for Data Analysis draws all the essential skills together and presents them in a clear and example-packed way. So you'll soon be applying your programming skills to complex data analysis problems, more easily than you ever thought possible. In terms of content, this book gets you started the right way by using 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 analysis. At the end, you'll have a solid set of the professional skills that can lead to all sorts of new career opportunities."
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_cBK
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_d5081