<span><p><b>Get unique insights from your data by combining the power of SQL Server, R and Python</b></p><h4>Key Features</h4><ul><li>Use the features of SQL Server 2017 to implement the data science project life cycle </li><li>Leverage the power of R and Python to design and develop efficient data
Learn Data Science Using SAS Studio: A Quick-Start Guide
โ Scribed by Engy Fouda
- Publisher
- Apress
- Year
- 2020
- Tongue
- English
- Leaves
- 232
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Do you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web browser-based product for educational and non-commercial purposes. The power of SAS Studio comes from its visual point-and-click user interface that generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks.
The book includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS Studio.
You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. The book introduces you to multiple SAS products such as SAS Viya, SAS Analytics, and SAS Visual Statistics.What You Will Learn
- Become familiar with SAS Studio IDE
- Understand essential visualizations
- Know the fundamental statistical analysis required in most data science and analytics reports
- Clean the most common data set problems
- Use linear progression for data prediction
- Write programs in SAS
- Get introduced to SAS-Viya, which is more potent than SAS studio
Who This Book Is For
A general audience of people who are new to data science, students, and data analysts and scientists who are experienced but new to SAS. No programming or in-depth statistics knowledge is needed.
โฆ Table of Contents
Front Matter ....Pages i-xvii
Front Matter ....Pages 1-1
Data Science in Action (Engy Fouda)....Pages 3-21
Getting Started (Engy Fouda)....Pages 23-50
Data Visualization (Engy Fouda)....Pages 51-102
Front Matter ....Pages 103-103
Statistical Analysis and Linear Models (Engy Fouda)....Pages 105-131
Advanced Data Preprocessing and Feature Engineering (Engy Fouda)....Pages 133-146
Preparing Data for Analysis (Engy Fouda)....Pages 147-167
Front Matter ....Pages 169-169
Regression (Engy Fouda)....Pages 171-186
SAS Visual Statistics: Viya (Engy Fouda)....Pages 187-209
What Is Next? (Engy Fouda)....Pages 211-219
Back Matter ....Pages 221-226
โฆ Subjects
Computer Science; Computer Applications; Big Data
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