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.

WhaHoo!! You're here!!

Time to invest in yourself

Exciting times! You're about to take an easy step into the world of understanding statistics. I'm delighted to be a part of your journey. Take a look at the curriculum below. I'm sure that you'll agree that this course is great value for money. I'll give you a full refund if you're not happy at the end of it.

Course Curriculum

  • 01

    Chapter 1: Descriptive statistics

  • 02

    Chapter 2: Sampling and inferential statistics

    • Hypothesis Testing

    • Inferential statistics

    • T-test, ANOVA, and Chi-Squared

    • Linear regression

    • Non-parametric tests

    • Understanding and Dealing with missing data

    • Risk

  • 03

    Data Visualization

    • Data visualization

  • 04

    Research methods

    • Research methods - intro

    • An overview of quantitative and qualitative methods

    • Case control vs. cohort studies

    • Randomised controlled trials and confounding

  • 05

    Introduction to R

    • Why use R

    • R example analysis

  • 06

    Additional resources

    • Tutors' quick guide to statistics

    • Study Design cheet sheet

    • Data visualization cheat sheet

  • 07

    Discussion and feedback

    • Discussion

    • Feedback

Once you've completed the course you'll have a good understanding of the various types of data, how to create and use a data dictionary, how to best describe and visualize your data, and how to use the most common statistical tests. You'll also learn about the assumptions that get made when applying statistical tests and when to use "non-parametric" tests.


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