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Statistics and Data Science Methods
Develop expertise in sophisticated statistical approaches and machine learning techniques through MIT's specialized curriculum for data scientists.
Develop expertise in sophisticated statistical approaches and machine learning techniques through MIT's specialized curriculum for data scientists.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Statistics and Data Science (Methods Track) MicroMasters® program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master advanced statistical methods and machine learning
Analyze time series data with interventional approaches
Develop sophisticated data analysis techniques
Learn to build and evaluate machine learning models
Apply methods to real-world social and economic questions
Skills you'll gain
This course includes:
PreRecorded video
5 courses
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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There are 5 courses in this program
Probability: The Science of Uncertainty and Data
Course 1 · 16 Weeks to complete · 10 modules
Machine Learning with Python: From Basics to Deep Learning
Course 2 · 15 Weeks to complete · 17 modules
Fundamentals of Statistics
Course 3 · 17 Weeks to complete0
Time Series Analysis with MIT
Course 4 · 14 Weeks to complete0
Statistics and Data Science Capstone Exam
Course 5 · 4 Weeks to complete0
Fee Structure
Payment options
Financial Aid
Testimonials
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Frequently asked questions
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