This course aims to cover various techniques and concepts used in different phases of a successful data analytics model development. The course will provide hands-on experience in data manipulation and wrangling, advanced visualization and statistical inference for univariate and multivariate analyses and statistical learning methods and predictive models like regression. Students will learn and practice working with data to create predictive models and generate insight through relevant Python packages in every phase of the analysis. Students will practice these techniques in a course project.
If you need an outline from an
earlier
semester, please use this form to contact us. Outlines for current and
future
courses will be posted here on the website as they become available.
