Descriptive statistics courses can help you learn how to summarize data sets, calculate measures of central tendency, and assess variability. You can build skills in interpreting frequency distributions, creating visual data representations, and performing hypothesis testing. Many courses introduce tools like Excel, R, or Python for data analysis, allowing you to apply these skills in practical scenarios, such as analyzing survey results or evaluating experimental data.

Coursera
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
★ 4.4 (797) · Advanced · Specialization · 3 - 6 Months

Beginner · Course · 1 - 4 Weeks

Arizona State University
Intermediate · Specialization · 3 - 6 Months

Imperial College London
★ 4.7 (2.1K) · Beginner · Specialization · 3 - 6 Months

Macquarie University
★ 4.7 (112) · Beginner · Specialization · 3 - 6 Months

American Psychological Association
★ 4.5 (8) · Beginner · Specialization · 3 - 6 Months

University of Michigan
★ 4.6 (3.3K) · Beginner · Specialization · 1 - 3 Months

American Psychological Association
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
★ 4.6 (48) · Beginner · Specialization · 3 - 6 Months
University of London
★ 4.6 (1.5K) · Beginner · Course · 1 - 3 Months

Vanderbilt University
★ 4.7 (36) · Beginner · Specialization · 1 - 3 Months