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 “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 dataset, learn whether good looking professors indeed get better teaching evalutions.
COURSE SYLLABUS
Module 1 – Welcome to Statistics!
- Welcome to Statistics
- Data visualization
- All about data
- 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.
RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE
- None
REQUIREMENTS
- None
