This popular course on Coursera for which more than 30,000 students from all over the world have enrolled. In it I build an intuitive understanding of the statistics used in healthcare and the life science. This is all done without a single equation in site.
If you’ve ever skipped over the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place. You may be a clinical practitioner reading research articles to keep up-to-date with developments in your field or a medical student wondering how to approach your own research. Greater confidence in understanding statistical analysis and the results can benefit both working professionals and those undertaking research themselves. If you are simply interested in properly understanding the published literature or if you are embarking on conducting your own research, this course is your first step. It offers an easy entry into interpreting common statistical concepts without getting into nitty-gritty mathematical formulae. To be able to interpret and understand these concepts is the best way to start your journey into the world of clinical literature. That’s where this course comes in – so let’s get started! The course is free to enroll and take. You will be offered the option of purchasing a certificate of completion from the University of Cape Town which you become eligible for, if you successfully complete the course requirements. This can be an excellent way of staying motivated! Financial Aid is also available.
This is my Udemy course on the use of the popular IBM SPSS program for statistical analysis. In this course I show you how to implement all of the topics covered ion my Coursera course on healthcare statistics.
After completing this course you will be able to use SPSS to conduct all of your own statistical analysis!
This is my Udemy course on the use of the Mathematica for statistical analysis. In this course I show you how to implement all of the topics covered ion my Coursera course on healthcare statistics.
After completing this course you will be able to use the Wolfram programming language in Mathematica to conduct all of your own statistical analysis! As a bonus, you will learn to write computer code in general.
This is my lecture series on YouTube where I teach you the fundamentals of healthcare and life science statistics and how to use the popular Python programming language to conduct your own statistical analysis.
After watching all of the videos, you’ll understand statistics and how to code in Python!
In this lecture series on YouTube I teach you how to code in the super-fast new computer language called Julia. As a base, I use medical data, so not only will you learn to code, but in one of the exercise series, I show you how to conduct medical statistical analysis for start to finish.