Without firm foundations, it can be difficult to build anything. This refreshingly different course provides you with an introduction to statistics and analyses and takes you through the 6 key concepts that underlie all statistical thinking and analysis. Using a mixture of discussion and exercises, each concept is broken down into an easily understood format. A must have course for anyone who wants a firm grounding in the basics of statistics.
If you are working in analytical role or similar that requires you to summarise and analyse data on a regular basis and to produce reports, charts & recommendations, then this course is exactly what you need. As a producer of statistical analysis, this course will show how you can apply these concepts using Microsoft Excel so as to make a quantum leap in the quality & efficiency of your analyses.
By the end of the session you will have a firm grasp of all these concepts and know how to summarise your data using tables and charts. You will also have a good understanding of how to start using your data to make decisions or to identify trends.
Session 1: Probability.
What is the difference between ʻabsoluteʼ and ʻconditional ʼ probability?
Session 2: Risk.
What is the meaning of Risk and how can we assess & manage it?
Session 3: Distribution
Why the normal and binomial distributions are so important to statistical thinkers.
Session 4: Expectation
The mean, median and mode; which should you use and when?
Session 5: Variance
How an understanding of ‘variance’ will mark you out as a true statistical thinker.
Session 6: Correlation
What is ʻcorrelationʼ and why it does not mean cause & effect!
Booking a course.
To book a training course, call 01225 489033 or email firstname.lastname@example.org.
On occasion, we will run 1 or more of our standard courses as a public course available to all. These take place throughout the year in the beautiful city of Bath. Discounts are available for people booking more than 1 day. See our list of scheduled training courses available to book online now.
If you regard yourself as a "Consumer" of statistics, then this course may be more appropriate.