Statistics 101 - Probability

Take this course and you won't fail statistics.

Welcome to the Statistics 101 course, taught by Murtaza Haider, Assistant Professor at Ryerson University.

Statistics is one of the most challenging topics to learn, but Murtaza brings a gentle introduction to statistics in practice. Learn about descriptive statistics, variance, probability, correlation, and data visualization.

This Statistics 101 course ends with a fully-guided #statistics exercise exploring the “hot” topic of: do good looking professors get better teaching evaluations?

A free trial of SPSS Statistics is included in this course.

ABOUT THIS COURSE:

Split into five modules, this is a beginner's course covering the fundamentals of statistics. Start with mean, mode, and median. Then learn about standard deviation using examples from basketball.

Learn about probability with dice. Learn what it means to group data by categorical variables, and how you can transform your data into appropriate graphs and charts.

In the final module, using an open data set, learn whether good looking professors indeed get better teaching evaluations.

This course is taught using SPSS Statistics. No prior experience necessary. A free trial is available through this course, available here: SPSS Statistics (Free Trial).

Connect with Cognitive Class:

[gurushiyasp]

The content and rest are awesome but the voice. It's too low Murtaza sir. Please make videos little louder... the first video (intro) of this playlist was perfect with the level of voice but not in the case of rest.

[contentcrash]

Why does it feel like the instructor is in some sort a hurry to complete the slides in a limited amount of time. Normally, people complain about courses being slow-paced but this is one of the few courses which seems to be in an unnecessary rush. The fundamentals are barely explained. The important topics are covered within a few seconds but more time is spent on the demonstrations with SPSS. The entire course seems like some sort an advertisement for IBM SPSS with very little explanation of the fundamentals of statistics.