English | ISBN: 9781393870012 | 170 pages | EPUB | 2020 | 4 Mb
Are you looking to learn more about Series, but struggling to find them in traditional Data Science textbooks
This book is your answer.
Series is an exciting and important part of Data Analysis. Series Data is more readily available than most forms of data and answers questions that cross-sectional data struggle to do. It also has more real world application in the prediction of future events. However it is not generally found in a traditional data science toolkit. There is also limited centralized resources on the applications of Series, especially using traditional programming languages such as Python.
This book solves all these problems, and more. It starts off with basic concepts in Series, and switches to more advanced topics. It shows you how to set up Python from start, and goes through over 20 examples of applying both simple and advanced Series concepts with Python code.
Here's What's Included In this Book
What is a Series
4 Different Elements of a Series
Why Python is the best way to Implement Series
Step by Step Guide to Installing Python and Importing Series Data
6 Different Techniques to Analyze Series Data
3 Advanced Series Concepts for Series Prediction
Series Visualization Techniques in Python
Even if you've never implemented Series before, you will still find this book useful.
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