About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
Beginner Level

You will only need an interest in analysing quantitative data and familiarity with reading standard graphs and tables of data.

Approx. 16 hours to complete
English

What you will learn

  • Defend the critical role of statistics in modern public health research and practice

  • Describe a data set from scratch, including data item features and data quality issues, using descriptive statistics and graphical methods in R

  • Select and apply appropriate methods to formulate and examine statistical associations between variables within a data set in R

  • Interpret the output from your analysis and appraise the role of chance and bias

Skills you will gain

  • Run basic analyses in R
  • R Programming
  • Understand common data distributions and types of variables
  • Formulate a scientific hypothesis
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

You will only need an interest in analysing quantitative data and familiarity with reading standard graphs and tables of data.

Approx. 16 hours to complete
English

Offered by

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Imperial College London

Start working towards your Master's degree

This course is related to the 100% online Global Master of Public Health from Imperial College London. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

Syllabus - What you will learn from this course

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Week
1

Week 1

4 hours to complete

Introduction to Statistics in Public Health

4 hours to complete
5 videos (Total 23 min), 7 readings, 2 quizzes
Week
2

Week 2

4 hours to complete

Types of Variables, Common Distributions and Sampling

4 hours to complete
6 videos (Total 34 min), 3 readings, 5 quizzes
Week
3

Week 3

3 hours to complete

Introduction to R and RStudio

3 hours to complete
2 videos (Total 20 min), 10 readings, 2 quizzes
Week
4

Week 4

5 hours to complete

Hypothesis Testing in R

5 hours to complete
4 videos (Total 20 min), 14 readings, 5 quizzes

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About the Statistical Analysis with R for Public Health Specialization

Statistical Analysis with R for Public Health

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