School Tuition Dataset

This dataset includes a list of classes approved and paid through the County tuition assistance program, including the title and description of the course, the school the course will be taken at, the degree this class curriculum is a part of, the Department and title of the requester, the dollar amount reimbursed to the employee.

This dataset is for Montgomery County of Maryland and is highly useful for data science applications for several reasons. Firstly, it contains a mix of categorical and numerical data, making it suitable for a variety of statistical analyses and machine learning applications.

For example, the dataset can be used to analyze trends in tuition assistance across different departments and majors, identify the most and least expensive courses, and determine if there are any patterns in course costs by degree level or school. Some types of analysis that can be performed include:

• Cost Analysis: One can perform a detailed cost analysis to identify trends in tuition fees. This could include comparing costs across different departments, majors, and degree levels to identify which areas have the highest and lowest tuition fees.
• Trend Analysis: Another valuable analysis could be trend analysis over time if historical data is available. This would involve tracking how tuition fees for specific courses or majors have changed over the years.
• NLP on Course Descriptions: By applying NLP techniques to the course descriptions, one can extract key themes and topics that are prevalent in the curriculum. This could help in understanding the focus areas of different departments and identifying emerging trends in educational offerings.