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Nominated for the 2020 edX Prize
Gain an interdisciplinary understanding of the essential fundamentals of analytics, including analysis methods, analytical tools, such as R, Python and SQL, and business applications.
Using common analytics software and tools, statistical and machine learning methods, and data-intensive computing and visualization techniques, learners will gain the experience necessary to integrate all of these parts for maximum impact.
Project experience is also included as part of the MicroMasters program. Through these projects, learners will hone their skills with data collection, storage, analysis, and visualization tools, as well as gain instincts for how and when each tool should be used.
These projects provide hands-on experience with real-world business applications of analytics and a deeper understanding of how to apply analytics skills to make the biggest difference.
Overview
Syllabus
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Courses under this program:
Course 1: Introduction to Analytics ModelingLearn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Course 2: Computing for Data AnalysisA hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.
Course 3: Data Analytics for BusinessThis course prepares students to understand business analytics and become leaders in these areas in business organizations.
