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.
Read more
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.
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.
What's inside
Three courses
Introduction to Analytics Modeling
(144 hours)
Introduction to Analytics Modeling
(144 hours)
Computing for Data Analysis
(135 hours)
Computing for Data Analysis
(135 hours)
Data Analytics for Business
(176 hours)
Data Analytics for Business
(176 hours)Learning objectives
- Use essential analytics tools like r, python, sql, and more.
- Understand fundamental models and methods of analytics, and how and when to apply them.
- Learn to build a data analysis pipeline, from collection and storage through analysis and interactive visualization.
- Apply your new analytics skills in a business context to maximize your impact.
- Use essential analytics tools like r, python, sql, and more.
- Understand fundamental models and methods of analytics, and how and when to apply them.
- Learn to build a data analysis pipeline, from collection and storage through analysis and interactive visualization.
- Apply your new analytics skills in a business context to maximize your impact.
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