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MIT IDSS AI & Data Science Program

viaGreat Learning
5.0 Rating
Difficulty
Beginner
Cost
N/A
Format
Instructor Led
Delivery
Online
Time Commitment
12 weeks 1 hrs/week

Summary

The MIT Data Science and Machine Learning Program is a 12-week, online course designed to help learners uncover the true value of data and make informed business decisions. Taught by MIT faculty, this program offers mentorship from industry practitioners and includes over 20 hands-on projects and case studies. It focuses on practical applications of data science and machine learning techniques to solve real-world challenges.

  • Before You Learn / Who This Course Is For
    • Ideal for professionals seeking data-driven decision-making skills

    • Suitable for both technical and non-technical backgrounds

    • No specific prerequisites required

  • What to Expect
    • Online, 12-week course with live instruction

    • Includes 20+ hands-on projects and case studies

    • Mentorship from industry practitioners and MIT faculty

  • What You'll Achieve
    • Gain practical data science and machine learning skills

    • Hands-on experience with real-world data challenges

Certifications covered by this course

No certifications are covered by this course.

Topics included

No specific topics are covered by this course.

Course Reviews

5.0 rating (1 review)
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R

Robert Kreider

Graduate 2026

July 24, 2026
Fun learning complex topics

My program manager, Rashi Mahajan, was exceptional — her level of care and genuine investment in my success made all the difference. There is NO way I could have gotten through this program without her. Thank you Rashi! You Rock!

The MIT AI and Data Science program is built on a proven teaching methodology: tell you what they're going to teach, teach it, show it in action, then reinforce it again. Every topic covered in a day's class included three to four hands-on exercises or applied sessions, so concepts weren't just heard once — they were practiced repeatedly until they stuck. Instructors were drawn from both industry and academia, meaning I learned from people who'd applied this knowledge in the real world, not just taught it in theory. It was genuinely fun to be taught by such a diverse and storied group of instructors, each bringing a different background and perspective to the material.

The skills and knowledge I gained are immediately applicable to my day-to-day engineering practice and business development efforts. That combination of structured repetition, practitioner-level instruction, and real support staff is what made the training stick — and it's why I completed and passed the certification.

Previous Experience Level: Beginner
Outcome: Built project or portfolio

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