As leaders in your chosen field, you need to not only know how to ask the right questions but also answer them using data-based methods. Through this class, you will be able to get to the bottom of what you really want to know, describe the associated data related to that question, and visualize the information from that data to understand and explain the results.

Defining, Describing, and Visualizing Data
University of Colorado BoulderAbout this Course
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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.
Beginner Level
Algebra recommended.
Approx. 9 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Classify types of data with scales of measurement
Calculate descriptive statistics and create graphical representations using R software
Solve problems and make decisions using probability distributions
Skills you will gain
- Data-Informed Decision-Making
- Engineering Decision Making
- Probability And Statistics
- Data Analysis
- Data Visualization (DataViz)
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.
Beginner Level
Algebra recommended.
Approx. 9 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Master's degree
This course is part of the 100% online Master of Engineering in Engineering Management 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
2 hours to complete
Data and Measurement
2 hours to complete
8 videos (Total 36 min), 1 reading, 2 quizzes
1 hour to complete
Working with Data in RStudio and ROIStat
1 hour to complete
8 videos (Total 33 min)
2 hours to complete
Describing and Visualizing Data
2 hours to complete
12 videos (Total 61 min)
1 hour to complete
Determining Probabilities
1 hour to complete
8 videos (Total 34 min)
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