- From www.coursera.org
Teaching Statistical Thinking: Part 1 Descriptive Statistics
- Self-paced
- Free Access
- Free certificate
- 5 Sequences
- Introductive Level
Course details
Syllabus
This class is taught in three units over 5 weeks
- Getting started with data (1 week)
- Single variable graphics and number summaries (1 week)
- Graphics and number summaries describing the relationship between two variables (2 weeks)
- Review (1 week)
Unit 1, Getting Started with Data
- 01_01 Introduction
- 01_02 Data, Variables, Unit of Observation/Analysis
- 02_01 Graphics: Histogram, Boxplot
- 02_02 Number Summaries: Center
- 02_03 Number Summaries: Spread
- 02_04 Transformation and Standardization
- 02_05 Bell-shaped Curves
- 03_01 Two Categorical Variables: Mosaic Plots
- 03_02 Two Categorical Variables: Contingency Tables
- 03_03 One Categorical, One Numeric Variable: Side by Side Boxplots
- 03_04 Two Categorical Variables: Correlation
- 03_05 Two Numeric Variables: Regression
- 03_06:03_09 Review of entire course
Prerequisite
Instructors
- Dalene Stangl - Statistical Science
- Kate Allman - Program in Education
- Mine Çetinkaya-Rundel - Department of Statistical Science
Editor
Duke University is a private North American research university located in Durham, North Carolina. The university is named after the Duke dynasty.
Although the university was not officially founded until 1924 (its roots go back to 1838). Frequently referred to as the "Harvard of the South", Duke is the most selective university in the American South.
The university is a member of the Association of American Universities, an association which, since 1900, has brought together the elite research universities of North America.
Platform
Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California.
Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.