Murach's Python for Data Science (2nd Edition) Professional Guide to Machine Learning & Python Programming - Learn Data Analysis, Visualization & Prediction Models for Business Insights

Scott McCoy

ISBN 10: 1943873178 / ISBN 13: 9781943873173

Published by Mike Murach and Associates Inc, 2024

About this Item

Seller Inventory # I-9781943873173

Bibliographic Details

• Title: Murach's Python for Data Science (2nd Edition) Professional Guide to Machine Learning & Python Programming - Learn Data Analysis, Visualization & Prediction Models for Business Insights
• Publisher: Mike Murach and Associates Inc
• Publication Date: 2024
• Language: English
• ISBN 10: 1943873178
• ISBN 13: 9781943873173
• Binding: Soft cover
• 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.