ACS 2511 Introduction to Data Science Workflow (DS 1.11)
In this course, students will learn the end to end data science workflow process including collecting, cleaning, exploring and visualizing data, followed by pre-processing the data, modeling the data, and evaluating the model. Students will implement the data science workflow process on simple regression and classification models using pandas, matplotib and scikit-learn. Students will utilize statistical techniques and become fluent in the science and art of data exploration and visualization to tell stories and persuade decision makers with data-driven insights. Prerequisites:
ACS 2500 (DS 1.0)