Johns Hopkins University - R Programming
4.4 /5- Offered byCoursera
- Public/Government Institute
R Programming at Coursera Overview
R Programming
at Coursera
Add a prestigious brand to your resume. Learn from esteemed faculty and industry practitioners.
Duration | 57 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Future job roles | Senior Data Analyst, Data Architect, Senior Business Analyst , Assistant Vice President - IT Knowledge Banking , E Commerce Analyst |
R Programming
Table of contents
R Programming at Coursera Highlights
R Programming
at Coursera
- Shareable Certificates
- Course Videos & Readings
- Certificate of Completion
- Financial aid available
Read more
R Programming at Coursera Course details
R Programming
at Coursera
Skills you will learn
Who should do this course?
- Biostatisticians
- Scientists
- Data Analysts
- Researchers
- Economists
What are the course deliverables?
- Collect detailed information using R
- Configure statistical programming software
- Make use of R loop functions and debugging tools
- Understand critical programming language concepts
- Shareable Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- Practice Quizzes
- Graded Quizzes with Feedback
More about this course
- In this course students will learn how to program in R and how to use R for effective data analysis
- Students will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language
- The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code
- Topics in statistical data analysis will provide working examples
R Programming at Coursera Curriculum
R Programming
at Coursera
Week 1: Background, Gettingstarted, and Nuts & Bolts
Week 2: Programming with R
Week 3: Loop Functions and Debugging
Week 4: Simulation & Profiling
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U
Uday Kiran
R Programming
5.0
Other: Completed the course successfully online provided by John Hopkins university through Coursera
Reviewed on 19 Mar 2021Read More
S
Sreerag V S
R Programming
4.0
Other: It was very helpful in manner of knowing the basics of R.Actually it's a good thing happend in the pandemic time.
Reviewed on 20 Oct 2020Read More
View All 10 Reviews
R Programming
at Coursera
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