Data 1: Dealing with Data

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to derive knowledge and insights from data. This course teaches students the critical concepts of inference and computing, working with real behavioral, economic, geographic, physical, social, and text data. Students obtain basic statistics training from a computational perspective using simulation to answer questions, explore problems, and delve into social issues surrounding data analysis, such as privacy and design.

Course Goals

• Learn the basic concepts and skills of data science.

• Become familiar with the programming language of Python,  particularly in the domain of data science and statistical modeling.

Course Number: PSYC 199 / POLS 199 / ECON 199 / SOC 199

Substitution: As an alternative to Data 1, students can complete Introduction to Computing, EECS138, and an introductory statistics course, including PSYC 210, ECON 426, POLS 306, or SOC 380.

Next core course: Data 2: Foundations of Data Science.