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Defining, Describing, and Visualizing Data
  • Level Foundation
  • Duration 9 hours
  • Course by University of Colorado Boulder
  • Offered by

About

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. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Modules

Introduction to Defining, Describing and Visualizing Data

    • 1 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Introduce Yourself!

1 Videos

  • Welcome to Defining, Describing and Visualizing Data

1 Readings

  • Welcome and Where to Find Help

Introduction to Data and Measurement

    • 1 Videos
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1 Videos

  • Introduction to Data and Measurement

Data and Measurement

    • 5 Videos
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5 Videos

  • Metrics, Data and Statistics
  • The Difference Between Data and Measurement
  • Measurement Scales: Nominal and Ordinal
  • Measurement Scales: Interval, Ratio and Absolute
  • The Big 5 Aspects of Data

Sampling Concepts

    • 1 Videos
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1 Videos

  • Sampling Concepts

Discussion: Data and Measurement

    • 1 Discussion
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1 Discussions

  • Data and Measurement

Assessment: Data and Measurement

    • 2 Quiz
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2 Quiz

  • Measurement Scales Practice Assessment
  • Assessment: Data and Measurement

Intro to Working with Data in RStudio and ROIStat

    • 1 Videos
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1 Videos

  • Introduction to Working with Data in RStudio and ROIStat

Getting Started with R and RStudio

    • 3 Videos
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3 Videos

  • Installing R and RStudio
  • Installing Packages
  • Customizing RStudio

Importing Data

    • 1 Videos
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1 Videos

  • Importing Data

Data Types, Structures and Useful Functions

    • 2 Videos
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2 Videos

  • Data Types and Structures, Useful Functions
  • More Useful Functions, Labels, Missing Values

Installing and Using ROIStat

    • 1 Videos
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1 Videos

  • Installing and Using ROIStat

Discussion: Working with Data in RStudio and ROIStat

    • 1 Discussion
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1 Discussions

  • Working with RStudio and ROIStat

Assessment: Working with Data in RStudio and ROIStat

    • 1 Quiz
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1 Quiz

  • Working with Data in RStudio and ROIStat

Introduction to Decribing Data Graphically and Numerically (To Be Completed)

    • 1 Videos
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1 Videos

  • Introduction to Describing Data

Displaying Data Through Time

    • 1 Videos
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1 Videos

  • Create a Run Chart

Histograms and Density Plots

    • 3 Videos
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3 Videos

  • Create an Ungrouped Histogram
  • Create a Grouped Histogram
  • Interpret Histograms and Create Density Plots

Box and Whisker Plots

    • 1 Videos
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1 Videos

  • Box and Whisker Plots

Scatterplots

    • 1 Videos
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1 Videos

  • Scatterplots

Measures of Central Tendency

    • 2 Videos
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2 Videos

  • Measures of Central Tendency: The Mean
  • Measures of Central Tendency: The Median and Mode

Measures of Dispersion

    • 1 Videos
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1 Videos

  • The Range, Standard Deviation, and Variance

Measures of Shape

    • 1 Videos
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1 Videos

  • Skewness and Kurtosis

Measures of Relationship

    • 1 Videos
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1 Videos

  • Correlation and Association

Discussion: Describing Data Graphically and Numerically

    • 2 Discussion
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2 Discussions

  • Describing Data Graphically
  • Describing Data Numerically

Assessment: Describing Data Graphically and Numerically

    • 1 Quiz
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1 Quiz

  • Describing Data Graphically and Numerically

Intro to Determining Probabilities

    • 1 Videos
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1 Videos

  • Introduction to Determining Probabilities

Probability Concepts

    • 5 Videos
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5 Videos

  • Basic Probability
  • Mutually vs Non-Mutually Exclusive Events
  • Independent vs Dependent Events
  • Conditional Probability
  • Probability Practice Problem

Probability Distributions

    • 2 Videos
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2 Videos

  • Probability Distributions Part 1
  • Probability Distributions Part 2

Discussion: Determining Probabilities

    • 1 Discussion
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1 Discussions

  • Determining Probabilities

Assessment: Determining Probabilities

    • 1 Quiz
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1 Quiz

  • Determining Probabilities

Introduction to Making Decisions with Probability Distributions

    • 1 Videos
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1 Videos

  • Introduction to Making Decisions with Probability Distributions

Discrete Probability Distributions

    • 5 Videos
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5 Videos

  • The Binomial Distribution
  • The Poisson Distribution
  • Poisson Distribution Test
  • Poisson Distribution Considerations
  • Discrete Probability Practice Problems

Continuous Probability Distributions

    • 9 Videos
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9 Videos

  • The Normal Distribution Part 1
  • The Normal Distribution Part 2
  • Testing for Normality
  • Actual vs Predicted
  • The Exponential Distribution Part 1
  • The Exponential Distribution Part 2
  • Testing for Exponentiality
  • Normal Distribution Practice Problems
  • Exponential Distribution Practice Problems

Discussion: Making Decisions with Discrete and Continuous Probability Distributions

    • 1 Discussion
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1 Discussions

  • Making Decisions with Discrete and Continuous Probability Distributions

Assessment: Making Decisions with Probability Distributions

    • 2 Quiz
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2 Quiz

  • Making Decisions with Discrete Probability Distributions
  • Making Decisions with Continuous Probability Distributions

Auto Summary

"Defining, Describing, and Visualizing Data" is a foundational course designed for professionals in data science and AI, focusing on data-driven question-solving, description, and visualization. Offered by Coursera, it is part of CU Boulder's Master of Engineering in Engineering Management, aiding engineers and technical professionals in leadership roles. The course spans 540 minutes and is available via a starter subscription. Ideal for a wide range of educational and professional backgrounds.

Wendy Martin
Instructor

Wendy Martin