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Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn Machine Learning & Data Science for Beginners
This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language.
Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn Machine Learning & Data Science for Beginners
Item #: 43712575

Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn Machine Learning & Data Science for Beginners

Item #: 43712575

ZAR 729

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This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language.
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What Stands Out

Beginner-Friendly
Specifically designed for novices, this book simplifies complex data visualization concepts, making it accessible for anyone starting their journey in Python and data science.
Comprehensive Tools
Covers essential libraries like Pandas, Matplotlib, and Seaborn, equipping readers with the skills to create insightful visualizations that enhance data understanding and analysis.
Practical Applications
Focuses on real-world examples and applications, helping learners apply their knowledge effectively, thus bridging the gap between theory and practical usage in data science projects.

Product Details

Learn how to visualize your data using Pandas, Matplotlib, and Seaborn. Perfect for beginners in machine learning and data science. Shop now at Ubuy South Africa
  • A guide for beginners to learn Python for Data Visualization quickly and effectively
  • Focuses on fundamental Python Libraries such as Pandas, Matplotlib, and Seaborn for Data Visualization
  • Provides hands-on projects and exercises using real-world datasets for practical learning
  • Solutions are simplified and extensively tested to ensure ease of understanding
  • Aims to help beginners overcome obstacles in learning Data Visualization using Python
  • Covers topics like Basic and Advanced Plotting with Matplotlib, Introduction to Seaborn Library, and Pandas for Data Visualization
Item Weight1.2 lbs (540 grams)

Who Should Buy?

Suitable For
  • New Data Analysts

    Beginners can easily grasp essential tools for data exploration and visualization using practical, hands-on examples.

  • Students in Data Science

    Ideal for students to learn foundational data visualization concepts as part of their coursework in data science.

  • Professionals Upskilling

    Working professionals looking to enhance their data visualization skills in Python will find this course beneficial.

Not Suitable For
  • Advanced Data Scientists

    Experts may find the content too basic and not challenging enough to advance their skills.

  • Python Non-Users

    This course is specifically for Python users; those not familiar with Python will struggle with its content.

  • Highly Technical Users

    Users seeking deep technical insights may not find the practical focus of this product sufficiently rigorous.

Product Description

Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn Machine Learning & Data Science for Beginners

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Data Processing Editorial Review

This book is a beginner's guide to data visualization with Python, exploring the use of Pandas, Matplotlib, and Seaborn for machine learning and data science. Although it is well organized, some customers found typos and English errors in the code and text. However, for non-native English speakers and beginner programmers, these errors might be difficult to navigate through. Some customers recommended searching for tutorials online, as the provided content was not sufficient. One customer shared that the book provided excellent guidance on setting up Anaconda and Jupyter, which helped them with Windows and Raspberry Pi installations. They appreciated the precise yet straightforward explanations of each example, and all the examples worked as promised.

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Pros

  • Well-organized content
  • Precise yet straightforward explanations of examples
  • Helpful for Windows and Raspberry Pi installations

Cons

  • Typos and English errors in the text and code might be difficult to navigate for non-native English speakers and beginner programmers

Product Price History

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