University of Colorado Boulder - Defining, Describing, and Visualizing Data
- Offered byCoursera
Defining, Describing, and Visualizing Data at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Defining, Describing, and Visualizing Data at Coursera Highlights
- Shareable Certificate
Flexible deadlines
Coursera Labs
100% online
Defining, Describing, and Visualizing Data at Coursera Course details
- Through this class, learner will be able to get to the bottom of what learner 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 specialization 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
Defining, Describing, and Visualizing Data at Coursera Curriculum
Data and Measurement
Welcome to Defining, Describing and Visualizing Data
Introduction to Data and Measurement
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
Welcome and Where to Find Help
Measurement Scales Practice Assessment
Assessment: Data and Measurement
Working with Data in RStudio and ROIStat
Introduction to Working with Data in RStudio and ROIStat
Installing R and RStudio
Installing Packages
Customizing RStudio
Importing Data
Data Types and Structures, Useful Functions
More Useful Functions, Labels, Missing Values
Installing and Using ROIStat
Working with Data in RStudio and ROIStat
Describing and Visualizing Data
Introduction to Describing Data
Create a Run Chart
Create an Ungrouped Histogram
Create a Grouped Histogram
Interpret Histograms and Create Density Plots
Box and Whisker Plots
Scatterplots
Measures of Central Tendency: The Mean
Measures of Central Tendency: The Median and Mode
The Range, Standard Deviation, and Variance
Skewness and Kurtosis
Correlation and Association
Describing Data Graphically and Numerically
Determining Probabilities
Introduction to Determining Probabilities
Basic Probability
Mutually vs Non-Mutually Exclusive Events
Independent vs Dependent Events
Conditional Probability
Probability Practice Problem
Probability Distributions Part 1
Probability Distributions Part 2
Determining Probabilities
Making Decisions with Discrete and Continuous Probability Distributions
Introduction to Making Decisions with Probability Distributions
The Binomial Distribution
The Poisson Distribution
Poisson Distribution Test
Poisson Distribution Considerations
Discrete Probability Practice Problems
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
Making Decisions with Discrete Probability Distributions
Making Decisions with Continuous Probability Distributions
Defining, Describing, and Visualizing Data at Coursera Admission Process
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