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Murach's Python for Data Analysis (Training & Reference)
89% of respondents would recommend this to a friend
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See for yourself how quickly and easily this book can turn you into the data analyst that employers are looking for.
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What Stands Out
Product Details
- Learn data analysis techniques using Python, including descriptive analysis with Pandas and visualization with Seaborn.
- Gain insight into predictive analysis using Scikit-learn with linear regression models.
- Benefit from 4 real-world case studies in political, environmental, social, and sports analytics.
- Develop essential skills for data analysis, applicable in various fields.
- Master the techniques that are in high demand by employers.
- Transform into a sought-after data analyst with ease and speed.
| Publisher | Mike Murach and Associates Inc |
| Publication date | August 30, 2021 |
| Edition | 1st |
| Language | English |
| Print length | 600 pages |
| ISBN-10 | 1943872767 |
| ISBN-13 | 978-1943872763 |
| Item Weight | 2.98 pounds (1.35 kg) |
| Dimensions | 8 x 1.2 x 10 inches (20.3 x 3 x 25.4 cm) |
Who Should Buy?
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Beginner Programmers
Ideal for individuals new to Python programming, providing foundational knowledge and skills for data analysis.
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Data Analysts
Designed for data analysts looking to enhance their Python skills for data manipulation and analysis tasks.
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Self-Learners
Perfect for self-directed learners who prefer structured content to efficiently learn Python for data analysis.
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Advanced Users
Not suitable for experienced Python users seeking advanced techniques and in-depth theoretical knowledge.
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Data Mining Editorial Review
Murach's Python for Data Analysis has received mostly positive reviews from customers. The book is designed for individuals who have a basic knowledge of Python programming language and want to learn how to use it for data analysis. The book takes a practical approach, providing step-by-step instructions for working with data using Python. Customers have found the examples and exercises to be helpful in solidifying their understanding of the material. One customer wrote, "I love this book! It's easy to read and understand. The examples are relevant and the exercises are very helpful." Another customer commented, "This book is great for beginners. The step-by-step instructions are easy to follow and the examples help to reinforce the concepts covered." However, some customers have noted that the book could benefit from more detailed explanations of certain topics. One customer stated, "While the book does a good job walking through practical examples, I found myself wanting more in-depth explanations of some concepts." Another customer noted, "The book assumes some prior knowledge of Python, so beginners may need to supplement their learning with additional resources." Overall, Murach's Python for Data Analysis is a useful resource for individuals looking to expand their knowledge of Python for data analysis.
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Pros
- Practical approach
- Step-by-step instructions
- Relevant examples
- Helpful exercises
Cons
- Lacks detailed explanations for some topics
Product Price History
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Features & Benefits
- Learn data analysis using Pandas and Seaborn
- Master descriptive analysis and predictive analysis
- Real-world case studies for practical learning
- Quickly become a data analyst that employers are looking for
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