Data Analysis for Life Sciences 1: Statistics and R Course by Harvard University

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Harvard University is currently offering a skill development free online course of Statistics and R Programming at edX. This is the first part of the specialization Data Analysis for Life Sciences. This course aims to guide all the participants to learn the programming in R and about Statistics.

The course covers the basic concepts of Statistics and R Programming for analyzing data in life sciences. Students have an opportunity to learn about what the statistical inference is and how to analyze the data using R. The course will start on July 1, 2017.

Course At A Glance

  • Length: 4 weeks
  • Effort: 2-4  hours/week
  • Subject: Biology & Life Sciences
  • Institution: Harvard University
  • Languages: English
  • Level: Intermediate
  • Price: Free, Add a Verified Certificate for $50
  • Certificate Available: Yes
  • Session: Course starts on July 1, 2017

Providers’ Details

Harvard University has teamed up with edX to bring this course Data Analysis for Life Sciences 1: Statistics and R for the participants. The Harvard University is one of the world’s most highly-respected universities which is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally.

EdX is a not-for-profit online education venture that provides you the latest MOOCs from best universities of the world and helps you create effective online teaching and learning experiences in a collaborative, private environment.

About This Course

This course will help you to master the basics of R programming as well as Statistics and provide R programming examples in a way that will help make the connection between concepts and implementation. This course also describes robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches.

The R language is widely used among statisticians and data miners for developing statistical software and data analysis. In short, R is a programming language and software environment for statistical computing and graphics.

Why Take This Course?

This is a free online course and by using R scripts to analyze data, you will learn the basics of conducting reproducible research.

Participants will receive an instructor-signed certificate with the institution’s logo to verify your achievement. The course is rich in high-quality text, images, video, audio and interactive elements to support your learning.

Learning Outcomes

After the completion of this course participants will learn:

  • How to read and write the data in R
  • Basic Concepts of Statistics
  • Control structures, functions, scoping rules, dates and times
  • Simulation, code profiling
  • Random variables
  • Distributions
  • Inference: p-values and confidence intervals
  • Exploratory Data Analysis
  • Non-parametric statistics

Instructors

  • Rafael Irizarry
    Professor of Biostatistics T.H. Chan School of Public Health, Harvard University
  • Michael Love
    Postdoctoral Fellow T.H. Chan School of Public Health, Harvard University

Requirements:

Basic programming knowledge & basic knowledge of math

How To Join This Course

  • Go to the course website link
  • Create an edX account to SignUp
  • Choose “Register Now” to get started.
  • EdX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
  • Once applicant sign up for a course and activate their account, click on the Log In button on the edx.org homepage and type in their email address and edX password. This will take them to the dashboard, with access to each of their active courses. (Before a course begins, it will be listed on their dashboard but will not yet have a “view course” option.)

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