CSCI2211 — Data Science and Visualization
CSCI 2211 - Data Science and Visualization CSCI 2211 - Data Science and Visualization Hours/Week: Lecture 4 Lab 0 Course Description: This course introduces students to the conceptual foundations and applications of data science. Programming, mathematical, and statistical techniques will be used to analyze and visualize a variety of large-scale data sets. Students will gain hands-on practice in data analysis and visualization. Topics include ethical issues with the use of data, statistical programming language, such as R, for data analysis, and visualizations for presenting the results of data analysis. MnTC Goals None Techniques to import, clean, and prepare data Introduction to Data frames, including manipulation, merging, and missing data Creating and using basic vector and matrix operations Generating descriptive statistics and using basis functions Different visualization techniques including graphs, tables, charts, and plots such as dot, pie, bar, histogram, mosaic, scatter, correlation, sunflower, box, line, and bag charts Emerging ethical issues with the use of data Learning
Prerequisites: MATH1025