About this Course

Learner Career Outcomes

25%

started a new career after completing these courses

19%

got a tangible career benefit from this course

17%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your 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 RR ProgrammingUnderstand common data distributions and types of variablesFormulate a scientific hypothesis

Learner Career Outcomes

25%

started a new career after completing these courses

19%

got a tangible career benefit from this course

17%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your 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

Placeholder

Imperial College London

Start working towards your Master's degree

This course is part of the 100% online Global Master of Public Health from Imperial College London. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(3,305 ratings)Info
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

Reviews

TOP REVIEWS FROM INTRODUCTION TO STATISTICS & DATA ANALYSIS IN PUBLIC HEALTH

View all reviews

About the Statistical Analysis with R for Public Health Specialization

Statistical Analysis with R for Public Health

Frequently Asked Questions

More questions? Visit the Learner Help Center.