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 multiple locations in the US or from the UK, 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

Advanced Data Analysis Skills
Murach's Python for Data Science teaches essential data analytics and visualization skills for today's data-driven world. This comprehensive guide covers Python pandas, data engineering fundamentals, and machine learning concepts. Ideal for aspiring data analysts and professionals seeking to expand their expertise. Learn to clean, analyze, and visualize data using industry-standard Python libraries. The book's practical approach ensures you'll be ready for real-world data challenges.

Real-World Applications
Master data science through hands-on practice with four realistic case studies using actual business data. This Python programming book goes beyond theory, showing you how to apply Python data analysis techniques to solve real problems. Learn to create powerful visualizations with Seaborn, build predictive models with Scikit-learn, and turn raw data into actionable insights. Each chapter builds your practical skills systematically.

Complete Learning System
Written for both beginners and advanced programmers, this data book provides a structured approach to mastering Python for data science. The second edition includes updated content on big data handling, statistical analysis, and the latest Python libraries. Clear explanations and practical exercises help you build confidence in data manipulation and analysis. Ideal for self-study or classroom use.

-Python for data analysis professionals
-Pandas and Seaborn libraries covered
-Scikit-learn regression modeling
-Four real-world data analyses
-Business insights from data

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.