Crash Course in Statistics
Crash Course in Statistics was designed for visual learners where images are used to explain mathematical concepts instead of formulas. This course covers the essential elements of statistics that are needed to prepare you for analyzing data or taking a statistics class. This course assumes no prior knowledge of statistics, so it's ideal for those who need a refresher course or for those who have never taken statistics. Below are the topics covered in the Statistics Crash Course.
Intended Audience:
- Anyone with little or no experience with statistics who wants to learn how to analyze data
- Any data practitioner, researcher, or graduate student needing a statistics refresher
- Those who need to prepare for a graduate statistics class or data analysis course
Format:
20 self-paced video lessons, each with its own retention exercise
Optional Books/Materials: Statistics in Plain English, Fourth Edition ($27.00).
Prerequisites:
- Broadband (ex. Cable, DSL, Satellite, Wireless, etc.) internet connection required
- No experience with statistics or statistical software necessary
Key Concepts You Will Learn in this Course
- Population and Samples
- Measures of Central Tendency
- Frequency Distribution
- Measures of Dispersion
- The Normal Distribution
- The Central Limit Theorem
- Confidence Intervals
- Comparing Means Visually
- How to Define Variables
- How to Determine Your Variables Level of Measurement
- How to Convert Research Questions into Variables
- A Conceptual Understanding of the Independent Samples T-Test
- A Conceptual Understanding of the Dependent (Paired) Samples T-Test
- A Conceptual Understanding of the One-Way
- A Conceptual Understanding of the Repeated Measures ANOVA
- A Conceptual Understanding of the Factorial ANOVA
- A Conceptual Understanding of the Correlation Analysis
- A Conceptual Understanding of the Linear Regression
