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Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython (Programming Languages for Beginners)
Python for Data Analysis is a step-by-step guide for beginners and dabblers-alike.
Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython (Programming Languages for Beginners)
Item #: 43776905

Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython

Item #: 43776905

GBP 14

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Python for Data Analysis is a step-by-step guide for beginners and dabblers-alike.
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What Stands Out

Comprehensive Coverage
This book provides an in-depth understanding of data analysis fundamentals, covering essential libraries like Pandas and NumPy, crucial for beginners and intermediate users aiming to build a solid foundation.
Hands-On Exercises
Engaging hands-on exercises allow readers to apply concepts in real-world scenarios, enhancing retention and practical skills necessary for effective data manipulation and analysis with Python.
Beginner-Friendly
Designed for newcomers, the clear explanations and structured learning path make it accessible, ensuring that even those with minimal programming experience can quickly grasp critical data analysis techniques.

Product Details

Discover the power of Python for data analysis with Pandas, Numpy, and Ipython. Become a data science expert with Ubuy UK's beginner's guide.
  • A beginner's guide to mastering the fundamentals of data science and data analysis using Pandas, NumPy, and IPython programming languages
  • Provides a step-by-step approach designed for beginners and those with little experience or knowledge of data analysis
  • Offers working knowledge of Python and data science, catering to individuals with varying levels of coding experience
  • Serves as an introduction to the most current tools and functions used by data scientists
  • Covers topics such as data science and its applications, IPython and Jupyter, Pandas, and NumPy
  • Ideal for those interested in learning about the applications of data science and its tools in Python
Publisher Independently published
Publication date August 26, 2021
Language English
Print length 173 pages
ISBN-13 979-8463514271
Item Weight 9.1 ounces (257.99 grams)
Dimensions 6 x 0.39 x 9 inches (15.2 x 1 x 22.9 cm)
Book 2 of 5 Programming Languages for Beginners

Who Should Buy?

Suitable For
  • Data Analysts

    Perfect for data analysts looking to enhance their skills in data manipulation and analysis using Python libraries.

  • Students

    Ideal for students learning data science concepts and needing practical experience with Python tools like Pandas and Numpy.

  • Beginners

    Great for beginners wanting to grasp fundamental data analysis techniques with a hands-on approach using Python programming.

Not Suitable For
  • Advanced Users

    Experienced Python users seeking advanced techniques may find the content too basic and not challenging enough.

Product Description

Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython (Programming Languages for Beginners)

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Natural Language Processing Editorial Review

Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython is a self-published book that aims to provide a beginner/intermediate overview of Python libraries for data work. While it delivers on its promise to some extent, the book lacks organization and often provides incomplete descriptions. The book includes multiple examples that help illustrate the methods and their applications, which is appreciated by readers who are looking for hands-on experience and practical knowledge. However, some readers find the explanations to be poor, leaving them frequently searching for additional information on platforms like StackOverflow. The book's low price of $10 might be tempting for those interested in taking their first steps in data analysis using Python, but it is important to Consider the shortcomings mentioned by readers before making a purchase decision. For individuals with previous experience in Python, this book may not provide the level of detail and clarity expected. Overall, Python for Data Analysis offers some useful sections and examples, but it falls short of being a comprehensive and well-organized resource for beginners in the field.

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Pros

  • Provides a beginner/intermediate overview of Python libraries for data work
  • Includes multiple examples illustrating methods and their applications
  • Affordable price

Cons

  • Lacks organization and complete explanations

Product Price History

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