Murach's Python for Data Science (Paperback)

Scott McCoy

ISBN 10: 1943873178 / ISBN 13: 9781943873173

Published by Mike Murach & Associates Inc., Fresno, CA, 2024

About this Item

Paperback. These days, businesses are collecting massive amounts of data. But this data isnt valuable until someone analyzes it to gain insights that can be used to make decisions. Thats 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 Murachs Python for Data Science as your guide, youll learn how to use Python libraries to get, clean, prepare, and analyze data at a professional level. To start, youll learn how to use Pandas for data analysis and Seaborn for data visualization. Then, youll 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. Thats 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9781943873173

Bibliographic Details

• Title: Murach's Python for Data Science (Paperback)
• Publisher: Mike Murach & Associates Inc., Fresno, CA
• Publication Date: 2024
• Language: English
• ISBN 10: 1943873178
• ISBN 13: 9781943873173
• Binding: Paperback
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

These days, businesses are collecting massive amounts of data. But this data isn’t valuable until someone analyzes it to gain insights that can be used to make decisions. That’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 Murach’s Python for Data Science as your guide, you’ll learn how to use Python libraries to get, clean, prepare, and analyze data at a professional level. To start, you’ll learn how to use Pandas for data analysis and Seaborn for data visualization. Then, you’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. That’s because studying analyses like these is critical to the learning process.

About the Author

Scott McCoy is a professional programmer, and has worked in a variety of domains including bioinformatics, IT automation, security, and data analytics. He holds a B.S. in computer science and a Microsoft certification in database technologies. He is a full-time author for Murach Books. In his free time, Scott enjoys reading, hiking, and spending time with his family.