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Data Science with SQL Server Quick Start Guide

You're reading from   Data Science with SQL Server Quick Start Guide Integrate SQL Server with data science

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789537123
Length 206 pages
Edition 1st Edition
Languages
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Author (1):
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Dejan Sarka Dejan Sarka
Author Profile Icon Dejan Sarka
Dejan Sarka
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Table of Contents (15) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Writing Queries with T-SQL FREE CHAPTER 2. Introducing R 3. Getting Familiar with Python 4. Data Overview 5. Data Preparation 6. Intermediate Statistics and Graphs 7. Unsupervised Machine Learning 8. Supervised Machine Learning 1. Other Books You May Enjoy Index

Summary


This was quite a long chapter. However, the chapter still just scratched the surface of possible issues with data preparation. Remember that in a real-life project, you spend the majority of time doing the not-so fun parts: the data preparation and data overview. 

In this chapter, you learned the basics of data preparation, including handling missing values, dealing with nominal variables, different ways of discretizing continuous variables, and how to measure the entropy of a discrete variable. At the end, you learned about some efficient ways of performing data manipulation in T-SQL, Python, and R.

The last three chapters of this book are concerned with introducing real analysis of the data. I will start with intermediate-level statistical methods, to explore the associations between variables, and with more advanced graphs.

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