# Statistics 101

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 course ends with a fully-guided statistics exercise exploring the â€œhotâ€ topic of: do good looking professors get better teaching evaluations? A free trial of SPSS Statistics is included in 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 dataset, learn whether good looking professors indeed get better teaching evalutions.

## COURSE SYLLABUS

Module 1 – Welcome to Statistics!

• Welcome to Statistics
• Data visualization
• SPSS Statistics
• SPSS Statistics in 5 minutes
• Lab exercises

Module 2 – Basic Statistics

• Types of data
• Measures of dispersion
• Mean, median, mode
• Statistics by data type
• Probability
• Lab exercises

Module 3 – Summarizing data

• Statistics by groups
• Visualization of group statistics
• Pivoting
• Cross-tabulations
• Correlation
• Lab exercises

Module 4- Data Visualization

• Visualization fundamentals
• Descriptive and statistical charts
• Scatterplots
• Statistical charts
• Time series charts
• Lab exercises

Module 5 – Does Beauty Pay?

• Does Beauty Pay?
• Weighted means, standard deviations
• Data wrangling
• Descriptive Statistics
• Reproducibility with syntax in SPSS Statistics
• Lab exercises

## GENERAL INFORMATION

• This course is free.
• It is self-paced.
• It can be taken at any time.
• It can be audited as many times as you wish.

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