Virtual program of:edX |
Use essential analysis tools like R, Python, SQL, and more.
Understand the fundamental models and analysis methods, and how and when to apply them.
Learn how to create a data analytics pipeline, from collection and storage to analysis and interactive visualization.
Apply your new analytical skills in a business context to maximize your impact.
1 year. 9 - 11 hours per week suggested.
3 high-level virtual courses (graduate-level)
2020 edX Award Nominee Gain an interdisciplinary understanding of the essential foundations of analytics, including analysis methods, analytics tools, such as R, Python, and SQL, and business applications.
Using common analysis tools and software, statistical and machine learning methods, and data-intensive computation and visualization techniques, students will gain the expertise to integrate all of these parts for maximum impact.
Project experience is also included as part of the MicroMasters program.
Through these projects, students will hone their skills with data collection, storage, analysis, and visualization tools, as well as gain insights into how and when each tool should be used.
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