Data Science Undergraduate

A typical Data Science course of study for an undergraduate degree in data science:

1. Mathematics: This includes courses in linear algebra, calculus, and statistics.

2. Computer science: This includes courses in programming, algorithms, and data structures.

3. Data analysis: This includes courses in data manipulation, cleaning, and visualization using tools such as R or Python.

4. Database systems: This includes courses in database design, management, and querying.

5. Machine learning: This includes courses in supervised and unsupervised learning, decision trees, random forests, linear and logistic regression, and more.

6. Domain-specific courses: This could include courses in business, finance, healthcare, or another specific field that you are interested in.

7. Capstone project: This is typically a final project that allows you to apply the skills and knowledge you have gained throughout your degree to a real-world problem.

"Data science is a rapidly growing field that is in high demand, as organizations increasingly recognize the value of data-driven decision making. Data scientists work in a variety of industries, including finance, healthcare, technology, and retail, and they use their skills to help organizations make better decisions and achieve their goals."