This online course introduces fundamental quantitative methods for data analysis, emphasizing practical application through SPSS or similar tools. It includes seven lectures with texts, videos, self-assessment exercises, and assignments requiring submission.
At the end of the course, students will be able to:
1. Develop quantitative literacy to read and interpret data-based academic and business articles, and build on this knowledge in advanced courses in economics and finance.
2. Understand basic statistical terms, concepts, data classifications, and descriptive statistics.
3. Apply quantitative methods using statistical software to conduct hypothesis testing and inferential analyses, including t-tests, One-Way ANOVA, and simple regression.
At the end of the course, students will be able to:
1. Develop quantitative literacy to read and interpret data-based academic and business articles, and build on this knowledge in advanced courses in economics and finance.
2. Understand basic statistical terms, concepts, data classifications, and descriptive statistics.
3. Apply quantitative methods using statistical software to conduct hypothesis testing and inferential analyses, including t-tests, One-Way ANOVA, and simple regression.
- Teacher: Dvir Greenberg