What's in it for you?

Benefits you can count on...

  • Get real skills

    This course has been designed to give you real skills. Each lesson has been carefully planned to build your set of capabilities, one step at a time. Think of this course as an investment in yourself.

  • Progress your career

    Get excited about taking the next step in your career. You’ll get a certificate at the end of this course that highlights your new skill set and your ability to add value in a professional setting.

  • Enjoy learning

    You’ll love the teaching style used in this course. Learning should be fun and engaging. You’ll really enjoy those “Aha!” moments when it all comes together for you.

Course curriculum

This R programming course will take you through the end-to-end process of data analysis, including cleaning, manipulating, summarizing, describing, visualizing and analysing your data. The data analysis section includes the t-test, ANOVA, chi-squared test and linear regression. Every lesson includes examples using data that is built into R (so you already have access to the data). That means that you'll be able to replicate absolutely every example in the course. Learning statistics doesn’t need to be difficult or scary. In this course you’ll be brought through the process in a step-by-step fashion. The fact that all of the examples used in the course use datasets that are built into R means that you can practise each set of skills in your own time before moving onto the next step. By the end of the course you'll feel completely comfortable with R programming. You'll be able to create incredible graphs and plots. You’ll understand the principles of hypothesis testing and how to perform statistical tests. Importantly, you’ll understand how to interpret the results of statistical tests. The teaching methods used in this course are designed to keep you engaged and make sure that you're excited about your new skills. Good luck… and ENJOY!!

  • 02

    Clean your data

  • 04

    Describe and Summarise your data

    • Describe and Summarise your data

  • 05

    Dealing with Missing data

    • Understanding missing data

  • 06

    Visualize your data using ggplot

    • Visualize your data using ggplot. R programming is the best platform for creating plots and graphs.

  • 07

    Hypothesis testing

    • Hypothesis testing

  • 08

    T-test

    • T-test and interpreting p values using R Programming

  • 09

    ANOVA

    • ANOVA

  • 10

    Chi Squared test

    • Chi Squared test

  • 11

    Linear Regression

    • Linear Regression

  • 12

    R programming overview

    • end to end (overall) - clean version

  • 13

    Cheat sheets

    • Statistics cheat sheet

    • Epidemiological study design cheat sheet

    • DataVis cheat sheet

  • 14

    Discount coupons for other courses

    • Discount coupon for the Certificate in Data Visualization

    • Discount coupon for the Certificate in Statistical Analysis

    • Discount coupon for the Research Methods bundle

  • 15

    Discussion and Feedback

    • Feedback

    • Discussion

Instructor

Instructor Bio:

Dr Greg Martin is a medical doctor with a Masters in Public Health and an MBA degree. His professional experience includes working as the Head of Science and Research at the World Cancer Research Fund and the Director of Elimination of Mother to Child Transmission at the Clinton Health Access Initiative. He is also the founder and Editor-in-Chief of the peer-reviewed journal Globalization and Health. 

Greg Martin