Beginners Guide to R for Data Analysis
This course introduces beginners to the R programming language, focusing on its application in data analysis.
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An outline of this training course
This course is designed to introduce beginners to the R programming language, focusing exclusively on its application in beginner to advanced data analytics. Through comprehensive lectures and practical exercises, participants will learn the basics of R and how to apply it in data analysis and statistical modeling.
By starting with the fundamentals of R programming, this course will guide learners through the process of data manipulation, visualization, and performing sophisticated statistical analyses.
What are needed to take this course
To make the most of this course, participants should possess basic computer literacy.
Who is this course for?
This course is for anyone interested in learning R for data analysis, particularly beginners with no prior programming experience.
Details of what you will learn during this course
- By the end of this course, you will:
- Learn the basics of R programming
- Master data manipulation techniques in R
- Efficiently perform data visualization and statistical analyses using R
What you get with the course
Text material divided by chapters and practical exercises
Program Level
Beginner
Field(s) of Study
Data Analysis, R Programming
Instruction Delivery Method
QAS Self-study
***This course was published in August 2024***
Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org
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Curriculum
Course Overview
Introduction to R Programming
Data Handling in R
Data Visualization
Statistical Analysis with R
Advanced Data Manipulation
Machine Learning with R
Project and Case Studies
Conclusion and Next Steps
Your
Instructor
EDNA Team
Data & AI
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