Introduction to Data Science and Analytics in Python I

3.00 credits · Graduate

The basics of data science and data science workflow. Data science process models, framing of problems, preparation of data, visualization of data, predictive models, clustering algorithms, and interpretation and communication of findings. Statistical topics such as summary statistics, distributions, correlation, and regression will also be introduced. This course is based on Python, which is a leading programming language for data science. No prior knowledge of Python or statistics is assumed.