Micromasters Program in Statistics and Data Science by MIT – edX
On the edX platform, the Micromasters program is a specialization. There are four courses in this program, as well as a virtual proctored exam. Learners can expect to gain the abilities of data science and machine learning methodologies and tools for undertaking data analysis. The students will also learn how to apply and experiment with various data analysis approaches and machine learning algorithms, as well as the principles of probability and statistics. Foundation mathematics and mathematical reasoning, as well as a basic understanding of Python programming, are prerequisites for the course.
The takeaways from the course include:
- Mastering the foundations for data science, statistics, and machine learning
- Analyzing big data and derive insights for business decisions with probabilistic modeling
- Statistical inference and identifying methodologies, and deploying appropriate models
- Develop machine learning algorithms to work with unstructured data and learn popular unsupervised learning methods.
- Basics of deep neural networks, clustered methodologies, and supervised methods.
The course contents are:
- Probability: The science of uncertainty and data
- Fundamentals of statistics
- Machine learning with Python: From linear models to Deep learning
- Capstone
Electives:
- Data analysis in social science: Assessing your knowledge
- Data analysis: Statistical modeling and computation in applications
Instructor: Regina Barzilay, Eren Can Kizildag, Sara Fisher Ellison, Jan-Christian Hutter, Patrick Jaillet, Jagdish Ramakrishnan, Katie Szeto, Kuang Xu, Dimitri Bertsekas, Esther Duflo, Qing He, Tommi Jaakkola, Jimmy Li, Philippe Rigollet and John Tsitsiklis
Level: Intermediate/Advanced
Duration: 1 year 2 months
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Price: $1528
Website: micromasters.mit.edu/ds/
