About this Course

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Coursera Labs
Includes hands on learning projects.
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Intermediate Level
Approx. 4 hours to complete
English

What you will learn

  • The application of predictive modeling to professional and academic work

  • Applications of classification analysis: decision trees

  • Applications of regression analysis (linear and logistic)

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
Approx. 4 hours to complete
English

Offered by

Placeholder

University of California, Irvine

Syllabus - What you will learn from this course

Week1
Week 1
1 hour to complete

Predictive Modeling

1 hour to complete
1 video (Total 3 min), 2 readings
Week2
Week 2
1 hour to complete

Data Dimensionality and Classification Analysis

1 hour to complete
2 readings
Week3
Week 3
1 hour to complete

Model Fitting

1 hour to complete
1 video (Total 3 min), 2 readings
Week4
Week 4
2 hours to complete

Regression Analysis

2 hours to complete
2 readings

Reviews

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About the Data Science Fundamentals Specialization

Data Science Fundamentals

Frequently Asked Questions

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