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Murach's Python for Data Analysis (Training & Reference)
See for yourself how quickly and easily this book can turn you into the data analyst that employers are looking for.
Murach's Python for Data Analysis (Training & Reference)
Item #: 38116005

Murach's Python for Data Analysis (Training & Reference)

Item #: 38116005

€ 44

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What Stands Out

Comprehensive Coverage
This book offers a detailed and thorough exploration of Python for data analysis, making it suitable for both beginners and experienced users eager to deepen their understanding of data manipulation and visualization.
Practical Examples
Murach's approach includes real-world examples that illustrate concepts effectively, enabling readers to apply Python skills immediately in data analysis scenarios, enhancing both learning and retention.
Structured Learning
With its well-organized chapters and clear explanations, this book provides a structured path for mastering Python, allowing readers to progress logically while building their data analysis skills confidently.

Product Details

Get the best Python for Data Analysis training and reference materials at Ubuy Latvia Global Store. Enhance your data analysis skills with Murach's comprehensive course.
  • 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?

Suitable For
  • Beginner Programmers

    Ideal for individuals new to Python programming, providing foundational knowledge and skills for data analysis.

  • Data Analysts

    Designed for data analysts looking to enhance their Python skills for data manipulation and analysis tasks.

  • Self-Learners

    Perfect for self-directed learners who prefer structured content to efficiently learn Python for data analysis.

Not Suitable For
  • Advanced Users

    Not suitable for experienced Python users seeking advanced techniques and in-depth theoretical knowledge.

Product Description

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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.

Customer Reviews & Ratings

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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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