About this Course

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100% online
Start instantly and learn at your own schedule.
Flexible deadlines
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Intermediate Level

Knowledge of R required and knowledge of tidyverse is helpful.

Approx. 10 hours to complete
English

What you will learn

  • By taking this course, you will be able explain what data science is and identify the key disciplines involved.​

  • You will be able to use the steps of the data science process to create a reproducible data analysis and identify personal biases.​

  • You will be able to identify interesting data science applications, locate jobs in Data Science, and begin developing a professional network.​

Skills you will gain

Data ScienceApplied MathematicsInformation ScienceStatisticsComputer Science
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

Knowledge of R required and knowledge of tidyverse is helpful.

Approx. 10 hours to complete
English

Offered by

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University of Colorado Boulder

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Introduction to Data Science: the Past, Present, and Future of a New Discipline

1 hour to complete
4 videos (Total 15 min)
Week
2

Week 2

4 hours to complete

Data Science in Industry, Government, and Academia

4 hours to complete
8 videos (Total 97 min), 7 readings, 1 quiz
Week
3

Week 3

3 hours to complete

Data Science Process and Pitfalls

3 hours to complete
11 videos (Total 64 min), 7 readings, 2 quizzes
Week
4

Week 4

2 hours to complete

Communicating Your Results

2 hours to complete
2 videos (Total 8 min), 1 reading, 1 quiz

About the Vital Skills for Data Science Specialization

Vital Skills for Data Science

Frequently Asked Questions

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