About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

Accessible to business-side learners yet also vital to techies. Engage in the commercial use of ML – whether you're an enterprise leader or a quant.

Approx. 17 hours to complete
English

What you will learn

  • Participate in the application of machine learning, helping select between and evaluate technical approaches

  • Interpret a predictive model for a manager or executive, explaining how it works and how well it predicts

  • Circumvent the most common technical pitfalls of machine learning

  • Screen a predictive model for bias against protected classes – aka AI ethics

Skills you will gain

  • Data Science
  • Artificial Intelligence (AI)
  • Machine Learning
  • Predictive Analytics
  • Machine Learning (ML) Algorithms
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

Accessible to business-side learners yet also vital to techies. Engage in the commercial use of ML – whether you're an enterprise leader or a quant.

Approx. 17 hours to complete
English

Offered by

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SAS

Syllabus - What you will learn from this course

Week1
Week 1
5 hours to complete

MODULE 1 - The Foundational Underpinnings of Machine Learning

5 hours to complete
10 videos (Total 83 min), 6 readings, 12 quizzes
Week2
Week 2
3 hours to complete

MODULE 2 - Standard, Go-To Machine Learning Methods

3 hours to complete
12 videos (Total 107 min), 1 reading, 12 quizzes
Week3
Week 3
5 hours to complete

MODULE 3 - Advanced Methods, Comparing Methods, & Modeling Software

5 hours to complete
16 videos (Total 162 min), 2 readings, 15 quizzes
Week4
Week 4
4 hours to complete

MODULE 4 – Pitfalls, Bias, and Conclusions

4 hours to complete
7 videos (Total 76 min), 8 readings, 8 quizzes

Reviews

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About the Machine Learning Rock Star – the End-to-End Practice Specialization

Machine Learning Rock Star – the End-to-End Practice

Frequently Asked Questions

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