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Hands-On Exploratory Data Analysis with Python

You're reading from   Hands-On Exploratory Data Analysis with Python Perform EDA techniques to understand, summarize, and investigate your data

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781789537253
Length 352 pages
Edition 1st Edition
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Authors (2):
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 Kumar Mukhiya Kumar Mukhiya
Author Profile Icon Kumar Mukhiya
Kumar Mukhiya
 Ahmed Ahmed
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Ahmed
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Table of Contents (17) Chapters Close

Preface 1. Section 1: The Fundamentals of EDA
2. Exploratory Data Analysis Fundamentals FREE CHAPTER 3. Visual Aids for EDA 4. EDA with Personal Email 5. Data Transformation 6. Section 2: Descriptive Statistics
7. Descriptive Statistics 8. Grouping Datasets 9. Correlation 10. Time Series Analysis 11. Section 3: Model Development and Evaluation
12. Hypothesis Testing and Regression 13. Model Development and Evaluation 14. EDA on Wine Quality Data Analysis 15. Other Books You May Enjoy Appendix

Understanding data science

Let's get this out of the way by pointing out that, if you have not heard about data science, then you should not be reading this book. Everyone right now is talking about data science in one way or another. Data science is at the peak of its hype and the skills for data scientists are changing. Now, data scientists are not only required to build a performant model, but it is essential for them to explain the results obtained and use the result for business intelligence. During my talks, seminars, and presentations, I find several people trying to ask me: what type of skillset do I need to learn in order to become a top-notch data scientist? Do I need to get a Ph.D. in data science? Well, one thing I could tell you straight away is you do not need a Ph.D. to be an expert in data science. But one thing that people generally agree on is that data...

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Hands-On Exploratory Data Analysis with Python
Published in: Mar 2020
Publisher: Packt
ISBN-13: 9781789537253
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