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Pandas Basics
Pandas Basics

Pandas Basics: Mastering Data Analysis with Pandas

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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€37.99
eBook Aug 2024 215 pages 1st Edition
eBook
€37.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
€37.99
eBook Aug 2024 215 pages 1st Edition
eBook
€37.99
eBook
€37.99

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Key benefits

  • Comprehensive coverage of Python basics and Pandas
  • Practical examples and code samples for hands-on learning
  • Detailed sections on data preprocessing, statistical concepts, and data visualization

Description

This book is essential for aspiring data scientists and anyone needing to perform data cleaning using Pandas and NumPy. It offers numerous code samples and comprehensive coverage of NumPy and Pandas features, including writing regular expressions. Chapter 3 introduces fundamental statistical concepts, while Chapter 7 delves into data visualization using Matplotlib and Seaborn. Companion files with code are available for download from the publisher. Starting with an introduction to Python, the course progresses through working with data, and then moves into Pandas, covering its functionalities in three detailed chapters. The statistical concepts provided are crucial for analyzing data effectively, while the visualization techniques enhance the ability to present data insights clearly. By the end of this course, users will have a solid foundation in data manipulation and cleaning, statistical analysis, and data visualization, enabling them to tackle real-world data science tasks confidently and efficiently.

Who is this book for?

The ideal audience for this book is software developers with a solid background in programming, specifically in Python. Complete beginners might not find this book very helpful. Readers should have a basic understanding of programming concepts.

What you will learn

  • Learn to install and configure Python and Pandas
  • Perform data preprocessing and cleaning tasks
  • Understand statistical concepts and their application
  • Create data visualizations with Matplotlib and Seaborn
  • Handle missing data and outliers effectively
  • Utilize Pandas for advanced data manipulation

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 08, 2024
Length: 215 pages
Edition : 1st
Language : English
ISBN-13 : 9781836645405
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Payment Processing...
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Product Details

Publication date : Aug 08, 2024
Length: 215 pages
Edition : 1st
Language : English
ISBN-13 : 9781836645405
Category :
Concepts :

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Table of Contents

8 Chapters
Chapter 1: Introduction to Python Chevron down icon Chevron up icon
Chapter 2: Working with Data Chevron down icon Chevron up icon
Chapter 3: Introduction to Probability and Statistics Chevron down icon Chevron up icon
Chapter 4: Introduction to Pandas (1) Chevron down icon Chevron up icon
Chapter 5: Introduction to Pandas (2) Chevron down icon Chevron up icon
Chapter 6: Introduction to Pandas (3) Chevron down icon Chevron up icon
Chapter 7: Data Visualization Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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