This applied statistics course provides students with practical skills and techniques for analyzing and interpreting data in various fields. Focusing on real-world applications, the course covers essential topics such as descriptive statistics, probability distributions, hypothesis testing, regression analysis, and data visualization.
Learning Objectives:
- Understand fundamental statistical concepts and terminology.
- Analyze and interpret data using various statistical methods.
- Apply probability theory to assess uncertainty and make informed decisions.
- Conduct hypothesis tests and understand their implications.
- Use regression analysis to explore relationships between variables.
- Present findings through effective data visualization techniques.
Format:
The course combines lectures, hands-on exercises, and case studies, allowing students to apply statistical methods to actual datasets. Students will also learn to use statistical software to enhance their analysis skills.
By the end of the course, students will be equipped with the analytical tools needed to draw meaningful conclusions from data and support evidence-based decision-making in their respective fields.
- Teacher: ezra mugeni