Murach's Python for Data Science (2nd Edition) Professional Guide to Machine Learning & Python Programming - Learn Data Analysis, Visualization & Prediction Models for Business Insights
Format:
Paperback
En stock
1.35 kg
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Nuevo
Amazon
USA
- 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
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