About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level

Some basic Python knowledge

Approx. 12 hours to complete
English

What you will learn

  • Implement and evaluate machine learning models (neural networks, random forests, etc.) on scientific data in Python

Skills you will gain

  • Artificial Neural Network
  • Machine Learning
  • Python Programming
  • Random Forest
  • PCA
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
Intermediate Level

Some basic Python knowledge

Approx. 12 hours to complete
English

Offered by

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LearnQuest

Syllabus - What you will learn from this course

Week
1
Week 1
2 hours to complete

Before the AI: Preparing and Preprocessing Data

2 hours to complete
12 videos (Total 47 min), 4 readings, 2 quizzes
Week
2
Week 2
4 hours to complete

Foundational AI Algorithms: K-Means and SVM

4 hours to complete
4 videos (Total 13 min), 3 readings, 3 quizzes
Week
3
Week 3
4 hours to complete

Advanced AI: Neural Networks and Decision Trees

4 hours to complete
1 video (Total 1 min), 4 readings, 2 quizzes
Week
4
Week 4
2 hours to complete

Course Project

2 hours to complete

Reviews

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About the AI for Scientific Research Specialization

AI for Scientific Research

Frequently Asked Questions

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