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Course: Organizing, Visualizing and Describing Data for Financial Applications
Upon completing the course, learners will be adept at effectively distinguishing and organizing different data types. They'll master key visualization tools, enhancing their ability to represent and interpret data. Additionally, they will understand and apply essential statistical measures, enabling insightful data analysis.
Topics covered in this course are:
1. Identify and compare data types.
2. Describe how data is organized.
3. Interpret frequency-related distributions.
4. Interpret a contingency table.
5. Describe ways to visualize data for specific purposes.
6. Calculate and interpret measures of central tendency.
7. Calculate and interpret visualizations of quantiles, measures of dispersion, and standard deviations.
8. Interpret kurtosis, skewness, and correlation.
1. Identify and compare data types.
2. Describe how data is organized.
3. Interpret frequency-related distributions.
4. Interpret a contingency table.
5. Describe ways to visualize data for specific purposes.
6. Calculate and interpret measures of central tendency.
7. Calculate and interpret visualizations of quantiles, measures of dispersion, and standard deviations.
8. Interpret kurtosis, skewness, and correlation.
Course Date(s)
No upcoming offerings are available.