Analysis Before Model Building: SAS and R codes side by side faq

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learnersLearners: 1
instructor Instructor: Ami Traore instructor-icon
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This course is perfect for new learners who want to learn the basics of data cleaning, data exploration and data analysis in SAS and R. It provides downloadable sample codes of SAS and R that students can copy, paste and run in the appropriate software. Step-by-step activities are included in the form of lectures, demos and PowerPoint presentations with annotations describing procedures, functions and options in SAS Studio, and functions in RStudio. Basic knowledge in at least one programming language (SAS or R) is required to take this course. Click now to get started on your journey to mastering data analysis with SAS and R!

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2023-06-07

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course offers new learners the opportunity to review sample codes used for data cleaning, data exploration and data analysis in SAS and R. It provides downloadable sample codes of SAS and R that can be copied, pasted and run in the appropriate software. Through a series of lectures and demos, as well as PowerPoint presentations enhanced with annotations describing procedures, functions and options in SAS Studio, and functions in RStudio, students will be guided through step-by-step activities. Basic knowledge in at least one programming language (SAS or R) is required for this course.

Course Syllabus

Introduction

Data Preparation

Data Exploration and Cleaning

Basic Analysis

SAS and R Coding Resources

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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faq FAQ for Data Preprocessing Courses

Q1: Does the course offer certificates upon completion?

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