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John Hopkins University - R Programming 

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R Programming
 at 
Coursera 
Overview

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

Account Planning, .Net, Black Box Testing, Assistant Vice President - IT Knowledge Banking , E Commerce Analyst

R Programming
 at 
Coursera 
Highlights

  • Shareable Certificates
  • Course Videos & Readings
  • Certificate of Completion
  • Financial aid available
Read more
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R Programming
 at 
Coursera 
Course details

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

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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R Programming
 at 
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Students Ratings & Reviews

4.4/5
Verified Icon15 Ratings
P
Piyush Awchar
R Programming
Offered by Coursera
4
Learning Experience: It have good courses in it with detailed explanation of the courses. There are total 9 corses and 1 capstone project
Faculty: The faculty was superb. They were clear what they they are teaching. With proper guidance and syllabus Good assesment schedule with hands-on and mcq questions. It also have peer to peer checking. There are good number of assessments
Course Support: No
Reviewed on 19 Jun 2022Read More
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V
Vikas Singh
R Programming
Offered by Coursera
4
Other: It is the beginner course for people starting programming in R. It is a good course which gives us overall learning of the basic concepts by simultaneously solving the simple assignments. Best part of this course is their assignments and projects. They are conceptual and intriguing and this course allowed me to strengthen my basics of R.
Reviewed on 14 Aug 2021Read More
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M
M yogeswara reddy
R Programming
Offered by Coursera
5
Other: Yeah, it was quiet good to learning R programming for us in business analytics
Reviewed on 25 Jul 2021Read More
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U
Uday Kiran
R Programming
Offered by Coursera
5
Other: Completed the course successfully online provided by John Hopkins university through Coursera
Reviewed on 19 Mar 2021Read More
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B
Basit
R Programming
Offered by Coursera
5
Other: My learning experience was very good. I learned a lot things like data types, control structure and function, loops and debugging tools in R. It was very good course for beginners.
Reviewed on 15 Mar 2021Read More
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View All 11 ReviewsRight Arrow Icon
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R Programming
 at 
Coursera 

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