Gain useful practical and thinking skills in data analysis efficiently
Organisations around the world are collecting more data than ever. They are talking about big data, data science, business intelligence, analytics, data mining and data visualisation.They want to extract insights from data about their worlds and make predictions to inform their decisions.
This is an introduction to statistical data analysis and data visualisation for those new to the subject as well as those wanting a fresh perspective. We focus on exploration of data and discovery, the limitations of data, avoiding being misled, and learning to think like a statistician.
Participants ranging from total beginners to experienced PhD researchers have completed and enjoyed this course. It assumes very little experience with statistical ideas and concepts. You will need to be comfortable thinking in terms of percentages and have a level of familiarity with computers that having learned to do basic things in Microsoft Excel would provide.
You need either a computer you can install free software on (e.g. iNZight, or R), or even just an internet connection and a modern web browser.
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.