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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 (10) Chapters Close

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 9. Other Books You May Enjoy

Data Overview

After introducing all of the three languages in the previous three chapters, it is time to do some serious work. Before doing some advanced analysis, you need to understand your data. In this stage, you typically do some preliminary statistical analysis and quite a few data visualizations.

In this chapter, you will learn the following topics:

  • A life cycle of a data science project
  • Ways to measure data values
  • Analyzing continuous variables with descriptive statistics and visualizations
  • Analyzing discrete variables with frequency tables and graphs
  • Getting a basic idea about the associations between pairs of variables
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