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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Beginner Level

It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.

Approx. 11 hours to complete
English

What you will learn

  • Identify stakeholders and key components imperative to an analytics project plan

  • Name strengths and weaknesses of different analysis and visualization tools

  • Visually identify, monitor, and remove process variation

  • Explain how to create a compelling data story

Skills you will gain

  • Data visualization tools
  • Data storytelling
  • Data analysis tools
  • Data-Driven Decision Making
  • Statistical process control (SPC)
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

It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.

Approx. 11 hours to complete
English

Offered by

Placeholder

University at Buffalo

Placeholder

The State University of New York

Syllabus - What you will learn from this course

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Week1
Week 1
3 hours to complete

Data Analysis Software Tools

3 hours to complete
6 videos (Total 24 min), 6 readings, 1 quiz
Week2
Week 2
3 hours to complete

Statistical Process Control (SPC)

3 hours to complete
5 videos (Total 17 min), 5 readings, 1 quiz
Week3
Week 3
4 hours to complete

Data Visualization and Translation

4 hours to complete
7 videos (Total 36 min), 5 readings, 1 quiz
Week4
Week 4
2 hours to complete

Project: Data Analysis and Visualization

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

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About the Data-Driven Decision Making (DDDM) Specialization

Data-Driven Decision Making (DDDM)

Frequently Asked Questions

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