About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
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Beginner Level

None

Approx. 14 hours to complete
English

What you will learn

  • Employ artificial intelligence techniques to test hypothesis in Python

  • Apply a machine learning model combining Numpy, Pandas, and Scikit-Learn

Skills you will gain

  • Data Science
  • Machine Learning
  • regression
  • Statistical Hypothesis Testing
  • medical data
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

None

Approx. 14 hours to complete
English

Offered by

Placeholder

LearnQuest

Syllabus - What you will learn from this course

Week
1
Week 1
3 hours to complete

Introduction to Python Programming for Hypothesis Testing

3 hours to complete
9 videos (Total 30 min), 5 readings, 6 quizzes
Week
2
Week 2
5 hours to complete

Creating a Hypothesis: Numpy, Pandas, and Scikit-Learn

5 hours to complete
8 videos (Total 35 min), 5 readings, 5 quizzes
Week
3
Week 3
2 hours to complete

Scikit-Learn Revisited: ML for Hypothesis Testing

2 hours to complete
6 videos (Total 22 min), 3 readings, 4 quizzes
Week
4
Week 4
3 hours to complete

Using Classification to Predict the Presence of Heart Disease

3 hours to complete
1 video (Total 4 min)

Reviews

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About the AI for Scientific Research Specialization

AI for Scientific Research

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