The Data Science and Machine Learning program combines data science fundamentals with practical skills to harness technologies in Python, SQL, and Tableau to produce powerful data insights and develop, train, and optimize Machine Learning models.
Students in this program will study intermediate and advanced Machine Learning concepts in Deep Learning, Natural Language Processing (NLP), unsupervised machine learning, and be introduced to Artificial Intelligence toward the end of the program. Students will explore data manipulation using Pandas, apply machine learning concepts with Sci-Kit Learn, and create reporting-quality visuals with Tableau. They will also explore hypothesis testing, ETL (Extract, Transform, Load) processes, and time series analysis. Upon completion of the program, students will have tackled real-world data challenges to train and deploy Data Science models from end-to-end.
Graduates of the Data Science & Machine Learning program will exit with five portfolio projects all based on real-data sets and authentic stakeholder questions featuring CRISP-DM workflow, the Extract, Transform, Load process, time-series analysis in Tableau, the students choice of either Deep Learning or Machine Learning process, and Exploratory Data Analysis of Natural Language Data.