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Statistics and Data Science
Gain advanced statistical knowledge and data science capabilities through MIT's graduate-level curriculum delivered by renowned experts.
Gain advanced statistical knowledge and data science capabilities through MIT's graduate-level curriculum delivered by renowned experts.
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 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 statistical modeling and inference techniques
Develop machine learning algorithms including deep neural networks
Learn to analyze and interpret complex datasets
Understand the interaction between statistics and computation
Gain expertise in data-driven decision making
Skills you'll gain
This course includes:
PreRecorded video
5 courses
Access on Mobile, Desktop, Tablet
FullTime access
Shareable certificate
Get a Completion Certificate
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There are 3 courses in this program
Python Basic Structures: Lists, Strings, and Files
Course 1 · 9 Hours to complete · 3 modules
Python Object Basics: Functions, Recursion, and Objects
Course 2 · 11 Hours to complete · 4 modules
Git with GitLab and BitBucket
Course 3 · 3 Hours to complete · 1 modules
Fee Structure
Payment options
Financial Aid
Testimonials
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.