Microsoft | Evaluated Learning Experience
Microsoft Professional Program: Certificate in Data Science
Various; distance learning format.
April 2018 - Present.
Upon successful completion of the course, students will be able to: understand the fundamentals of data science; analyze and visualize data; communicate data insights; apply ethics and law in analytics; query relational data; explore data using code; apply math and statistics to data analysis, plan and conduct data studies; build machine learning models; and build predictive solutions at scale.
Instruction is offered online through edX and through other Microsoft partners. Major topics include: introduction to data science, analyzing and visualizing data with power Bi, analyzing and visualizing data with Excel, analytics storytelling for impact, ethics and law for data and analytics, querying with transact SQL, introduction to R for data science, introduction to Python for data science, essential math for machine learning: R edition, essential math for machine learning: Python edition, data science research methods: R edition, data science research methods: Python edition, principles of machine learning: R edition, principles of machine learning: Python edition, developing big data solutions with Azure machine learning, analyzing big data with Microsoft R, and implementing predictive analytics with Spark in Azure HD Insight. Skills are measured through formative and summative assessments including a comprehensive capstone project.
In the upper division baccalaureate degree category, 3 semester hours in Introduction to Data Science (10/18).