About this Course

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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Beginner Level

No experience with spreadsheets or data analytics is required. All you need is high-school level math skills and a curiosity about how things work.

Approx. 25 hours to complete
English

What you will learn

  • Explain factors to consider when making decisions about data collection

  • Discuss the difference between biased and unbiased data

  • Describe databases with references to their functions and components

  • Describe best practices for organizing data

Skills you will gain

  • Spreadsheet
  • Metadata
  • Data Collection
  • Data Ethics
  • SQL
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

No experience with spreadsheets or data analytics is required. All you need is high-school level math skills and a curiosity about how things work.

Approx. 25 hours to complete
English

Instructor

Offered by

Placeholder

Google

Syllabus - What you will learn from this course

Content RatingThumbs Up97%(393,894 ratings)
Week1
Week 1
7 hours to complete

Data types and structures

7 hours to complete
9 videos (Total 31 min), 10 readings, 8 quizzes
Week2
Week 2
4 hours to complete

Bias, credibility, privacy, ethics, and access

4 hours to complete
12 videos (Total 36 min), 4 readings, 6 quizzes
Week3
Week 3
9 hours to complete

Databases: Where data lives

9 hours to complete
12 videos (Total 48 min), 8 readings, 12 quizzes
Week4
Week 4
3 hours to complete

Organizing and protecting your data

3 hours to complete
4 videos (Total 11 min), 4 readings, 4 quizzes

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