About this Course

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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 toolsData storytellingData analysis toolsData-Driven Decision MakingStatistical process control (SPC)
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.
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

Week
1

Week 1

3 hours to complete

Data Analysis Software Tools

3 hours to complete
6 videos (Total 24 min), 6 readings, 1 quiz
6 videos
Context, Objectives, and Analysis Plans4m
Excel, R, MINITAB, MATLAB, and Python7m
Techniques and Best Practices6m
Dan Gerena Discusses Maximizing the Value of Data2m
Introduction to Visualization2m
6 readings
Welcome Message and Course Overview5m
Acknowledgements2m
Context, Objectives, and Analysis Plans Resources (Optional)40m
Data Analysis Tools Resources (Optional)30m
Techniques and Best Practices Resources (Optional)30m
Introduction to Visualization Resources (Optional)20m
1 practice exercise
Data Analysis Software Tools30m
Week
2

Week 2

3 hours to complete

Statistical Process Control (SPC)

3 hours to complete
5 videos (Total 17 min), 5 readings, 1 quiz
5 videos
Variation Sources2m
Control and Specification Limits4m
Variation Analysis4m
Process Performance3m
5 readings
Objectives (Optional)10m
Variation Sources (Optional)20m
Control and Specification Limits (Optional)40m
Variation Analysis (Optional)20m
Process Performance (Optional)20m
1 practice exercise
Statistical Process Control (SPC)30m
Week
3

Week 3

4 hours to complete

Data Visualization and Translation

4 hours to complete
7 videos (Total 36 min), 5 readings, 1 quiz
7 videos
Data Story6m
Tableau, Excel, and Power BI6m
Dan Gerena Discusses Data Visualization3m
Insight Evaluation4m
Testing and Re-Evaluation3m
Dan Gerena Discusses Sustaining a Data-Driven Strategy3m
5 readings
Guiding Principles Resources (Optional)30m
Data Story Resources (Optional)30m
Visualization Tools Resources (Optional)40m
Insight Evaluation Resources (Optional)30m
Testing and Re-Evaluation Resources (Optional)20m
1 practice exercise
Data Visualization and Translation 30m
Week
4

Week 4

2 hours to complete

Project: Data Analysis and Visualization

2 hours to complete
1 video (Total 1 min), 1 reading, 1 quiz
1 reading
Project: Data Analysis and Visualization (REQUIRED)1h

About the Data-Driven Decision Making (DDDM) Specialization

Data-Driven Decision Making (DDDM)

Frequently Asked Questions

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