About this Course

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Coursera Labs
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Intermediate Level
Approx. 7 hours to complete
English

What you will learn

  • The knowledge and skills needed to work in the data science profession

  • How data science is used to solve business problems

  • The benefits of using the cross-industry standard process for data mining (CRISP-DM)

Skills you will gain

  • Environmental Data Analysis
  • Data Documentation
  • Geophysical Data
  • Data Mining
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. 7 hours to complete
English

Offered by

Placeholder

University of California, Irvine

Syllabus - What you will learn from this course

Week1
Week 1
2 hours to complete

Data Science: The Field and Profession

2 hours to complete
2 readings
Week2
Week 2
1 hour to complete

Data Science in Business

1 hour to complete
1 video (Total 3 min), 2 readings, 1 quiz
Week3
Week 3
2 hours to complete

Data Mining and an Overview of Data Analytics

2 hours to complete
2 readings
Week4
Week 4
3 hours to complete

Solving Problems with Data Science

3 hours to complete
1 video (Total 3 min), 2 readings, 1 quiz

Reviews

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About the Data Science Fundamentals Specialization

Data Science Fundamentals

Frequently Asked Questions

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