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Data Analysis- Coursera

0-6 Month Online
Beginner Contact Institute
Online Big Data
Online Self Paced 1585


[su_tab title = “Description”]

This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Then it will cover some of the most popular and widely used statistical methods like linear regression, principal components analysis, cross-validation, and p-values. Instead of focusing on mathematical details, the lectures will be designed to help you apply these techniques to real data using the R statistical programming language, interpret the results, and diagnose potential problems in your analysis. You will also have the opportunity to critique and assist your fellow classmates with their data analyses.


[su_tab title = “Program Structure”]

Important Date:

Contact Institute


8 weeks

Time requirement:

3-5 hours/week




[su_tab title =”Eligibility”]

  • Some familiarity with the R statistical programming language and proficiency in writing in English will be useful.
  • This course is taken by first-year graduate students in Biostatistics at Johns Hopkins.


[su_tab title =”Tools”]

  • R


[su_tab title = “Faculty”]

  • Dr. Jeff Leek, Johns Hopkins University


[su_tab title = “Contact”]

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