Statistics help us make sense of the world around us. These numbers help everyone from political pollsters to fantasy football aficionados make informed calls based on the mountains of data at their disposal. In this weekly series, learn how to decode the statistics that pop up on a daily basis. Eddie Davila explores a new eclectic, real-world topic each week. Learn how stats are used to find the average score on a test, how casinos use stats to ensure that the house will usually win, and more.
A collection of videos covering statistics foundations, Excel statistics essential training, big data management and others.
Access the LinkedIn Learning Video Collection on Statistics and Data Management
The collection includes the following courses:
This course takes a practical, visual, and non-mathematical approach to SPSS Statistics, explaining how to use the popular program to analyze data in ways that are difficult or impossible in spreadsheets, but which don't require you to master programming languages like Python or R. The course covers all the basics from importing spreadsheets, to making data visualizations, to calculating descriptive statistics.
With this course, gain insight into key statistical concepts and build practical analytics skills using Python and powerful third-party libraries. The course covers several major skills: cleaning, visualizing, and describing data, statistical inference, and statistical modeling. All concepts are introduced by analyzing intriguing real-world datasets and discussed from a machine-learning perspective—which assumes that powerful computation can replace complex mathematics.
StatsTutor: an online support centre featuring a host of statistics resources. Includes case-study videos, facts and formulae leaflets, video tutorials, teach yourself booklets and tests/quizzes. The resources are from respected sources across the University sector, business and government organisations
Khan Academy: lots of clear videos and activities on statistics and probability
