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商品＃:
79087971
Murach's Python for Data Analysis, (Paperback)
商品＃:
79087971
TWD 1953
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立即訂購並活動它 週四, 十月 08
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What Stands Out
Comprehensive Coverage
Offers in-depth exploration of Python for data analysis, ensuring readers grasp concepts from fundamentals to advanced techniques effectively.
Project-Based Learning
Utilizes hands-on projects, allowing learners to apply knowledge practically, enhancing retention and real-world skills in data analysis.
Accessible Style
Written in a clear, user-friendly manner, making complex topics approachable for beginners and seasoned programmers alike.
產品詳情
- Teaches essential data analysis skills in a comprehensive and clear manner
- Covers Pandas for data analysis and Seaborn for data visualization
- Includes real-world case studies in political, environmental, social, and sports analysis
- Guides on using Scikit-learn with linear regression models for predictive analysis
- Helps in mastering descriptive analysis by teaching data cleaning, preparation, and analysis
- Provides JupyterLab as the IDE for applying programming skills to complex data analysis problems
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | August, 2021 |
| Pages | 600 |
| Reading level | General/Trade |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Mike Murach and Associates, Inc. |
| Original languages | English |
| Language | English |
| Edu focus | Science & Technology, Social Science |
| Awards won | None |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 8.00 x 1.40 x 9.90 in (20.3 x 3.6 x 25.1 cm) |
| Assembled product weight | 2.8 lb (1.27 kg) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginners in Data
Ideal for users new to data analysis, providing foundational skills and easy-to-understand explanations of concepts.
-
Python Developers
Great for Python developers looking to expand their skill set into data analysis and related libraries.
-
Self-learners
Perfect for self-learners who prefer hands-on exercises and practical applications to grasp data analysis techniques.
-
Advanced Analysts
Not suitable for advanced data analysts seeking complex theories and intricate techniques beyond basic analysis.
產品描述
Murach's Python for Data Analysis, (Paperback)
About This Item
Introducing Murachs Python for Data Analysis Paperback - Your Essential Guide to Python Data Analysis Are you a data enthusiast looking to explore the power of Python for data analysis? Look no further than Murachs Python for Data Analysis Paperback. This comprehensive guidebook is designed to equip data scientists, analysts, and professionals with the skills and knowledge needed to excel in the field of Python data analysis. With Murachs Python, you'll discover the endless possibilities of utilizing Python for data analysis. From sorting, filtering, and aggregating data to performing advanced statistical analysis and visualization, this book covers everything you need to know to become a proficient Python data analyst. Unlock the full potential of your data by leveraging the numerous data analysis techniques provided in this book.
Whether you're working with large datasets or small-scale projects, Python for Data Analysis offers a step-by-step approach that simplifies the complex data analysis process. This book is the ideal companion for anyone interested in Python data analytics. It provides a comprehensive overview of the Python programming language and its powerful libraries, including NumPy, Pandas, Matplotlib, and Seaborn. These libraries are essential tools for data processing, manipulation, visualization, and exploration. Murachs Python for Data Analysis Paperback is not just a theoretical guide, but a practical resource that includes real-world examples and hands-on exercises.
You'll have the opportunity to apply your newfound knowledge to solve data analysis challenges and gain valuable insights. Take your data analysis skills to the next level with Murachs Python. Whether you're in business, finance, or academia, this book will be your trusted companion in harnessing the power of Python for data analysis. Don't miss out on this opportunity to become a proficient Python data analyst. Order Murachs Python for Data Analysis Paperback today and unlock the full potential of your data with Python!.
有疑問？ 和我們聊天
客戶問題與解答
-
問題:
What tools are used in this book for data analysis?
Answer: This book uses Pandas for data analysis and Seaborn for data visualization, with JupyterLab as the IDE. -
問題:
What does the book cover in terms of analysis techniques?
Answer: The book covers descriptive analysis, which includes getting, cleaning, preparing, and analyzing data. It also covers predictive analysis using linear regression models. -
問題:
Does the book provide practical examples?
Answer: Yes, the book includes 4 real-world case studies in political, environmental, social, and sports analytics to help apply the skills learned.
Scott McCoy All Books Editorial Review
Murach's Python for Data Analysis (Paperback) is a comprehensive non-fiction resource that delves into the realms of data science. This book, published in August 2021, spans 600 pages and is designed for general readers, making it accessible for anyone interested in computing and internet technologies. The focus is on Python programming in the context of data analysis, emphasizing both practical skills and theoretical knowledge. As an engaging guide, it is well-suited for learners ready to harness the power of data science using Python, reflecting the growing importance of this skill in various fields. Many readers have appreciated its structured approach and clear explanations.
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優點
- Comprehensive coverage of data analysis techniques
- Accessible for general readers
- Clear explanations of Python programming
- Ideal for both beginners and experienced users
- Well-organized structure and content
缺點
- Some readers may find it quite lengthy
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立即訂購並活動它 週四, 十月 08
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特色和優勢
- Learn all the essential skills for data analysis in one book
- Master descriptive analysis using Pandas and Seaborn
- Get started with predictive analysis using linear regression models
- Includes 4 real-world case studies for practical application
- Gain professional skills for new career opportunities
- Become the in-demand data analyst that employers are looking for
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