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Data Science on SAS by OrangeTreeGlobal

 Data Science on SAS by OrangeTreeGlobal
 Data Science on SAS by OrangeTreeGlobal

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A clear understanding about the data science theory, techniques and its application in SAS Studio platform.

What you'll learn
  • From this course students will have a clear understanding about the data science theory, techniques that are applied and also its application in SAS Studio platform
  • In this course we focus on the following topics
  • 1) What is Business Analytics and why is Analytics used in the Business field
  • 2) A detailed understanding about Descriptive Statistics
  • 3) Understanding probability theory and different types of distributions along with its application in SAS
  • 4) Clarity about Sampling and its distribution along with its application in SAS
  • 5) Building of hypothesis and learn how to test it in SAS
  • 6) Checking the significance using different types of T-Test and its application in SAS
  • 7) The theory of ANOVA and its application in SAS
  • 8) Finding the Association between variables using Chi Square and Correlation in SAS
  • 9) Learn what is Linear Regression and how to build a model to predict the values in SAS
  • 10) Learn what is Logistic Regression and how to build a model to predict the Binary values in SAS
  • 11) Learn what is Factor and Cluster Analysis and how to apply in SAS
  • 12) An understanding about Time series in the field of business analytics and how to build a model, forecast future values using SAS
 Description

The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on SAS Studio to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with SAS along with the correction and handling of errors as and when they pop-up. The program builds a solid foundation by covering the most popular and widely used data science technologies and its applications.
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