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Practical Data Analysis Using Jupyter Notebook

You're reading from   Practical Data Analysis Using Jupyter Notebook Learn how to speak the language of data by extracting useful and actionable insights using Python

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781838826031
Length 322 pages
Edition 1st Edition
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Author (1):
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Marc Wintjen Marc Wintjen
Author Profile Icon Marc Wintjen
Marc Wintjen
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Data Analysis Essentials
2. Fundamentals of Data Analysis FREE CHAPTER 3. Overview of Python and Installing Jupyter Notebook 4. Getting Started with NumPy 5. Creating Your First pandas DataFrame 6. Gathering and Loading Data in Python 7. Section 2: Solutions for Data Discovery
8. Visualizing and Working with Time Series Data 9. Exploring, Cleaning, Refining, and Blending Datasets 10. Understanding Joins, Relationships, and Aggregates 11. Plotting, Visualization, and Storytelling 12. Section 3: Working with Unstructured Big Data
13. Exploring Text Data and Unstructured Data 14. Practical Sentiment Analysis 15. Bringing It All Together 16. Works Cited
17. Other Books You May Enjoy
Fundamentals of Data Analysis

Welcome and thank you for reading my book. I'm excited to share my passion for data and I hope to provide the resources and insights to fast-track your journey into data analysis. My goal is to educate, mentor, and coach you throughout this book on the techniques used to become a top-notch data analyst. During this process, you will get hands-on experience using the latest open source technologies available such as Jupyter Notebook and Python. We will stay within that technology ecosystem throughout this book to avoid confusion. However, you can be confident the concepts and skills learned are transferable across open source and vendor solutions with a focus on all things data.

In this chapter, we will cover the following:

  • The evolution of data analysis and why it is important
  • What makes a good data analyst?
  • Understanding data types and why they are important
  • Data classifications and data attributes explained
  • Understanding data literacy
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Practical Data Analysis Using Jupyter Notebook
Published in: Jun 2020
Publisher: Packt
ISBN-13: 9781838826031
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