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Title: |
Murach's Python for Data Science |
| Sub-title: |
(2nd Edition) |
Search Result:
| By (author): |
Scott McCoy |
| ISBN10-13: |
1943873178 : 9781943873173 |
| Format: |
Paperback |
| Pages: |
592 |
| Weight: |
1.220 Kg. |
| Published: |
Murach (Mike) & Associates Inc - May 2024 |
| List Price: |
60.99 Pounds Sterling |
| Availability: |
In Stock
Qty Available: 11 |
| Subjects: |
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| These days, businesses are collecting massive amounts of data. But this data isnâ t valuable until someone analyzes it to gain insights that can be used to make decisions. Thatâ s why the US Bureau of Labor Statistics (BLS) predicts that the demand for data analysts will continue to grow for the rest of the decade. Now, with Murachâ s Python for Data Science as your guide, youâ ll learn how to use Python libraries to get, clean, prepare, and analyze data at a professional level. To start, youâ ll learn how to use Pandas for data analysis and Seaborn for data visualization. Then, youâ ll learn how to use Scikit-learn to create regression models that you can use to make predictions. To tie everything together, this book contains four realistic analyses that use real-world data. Thatâ s because studying analyses like these is critical to the learning process. Mike Murach & Associates has been publishing high-quality books about computer programming since 1972. Download a sample chapter from the Murach website and see for yourself. |
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