University of Colorado Boulder - Managing, Describing, and Analyzing Data
- Offered byCoursera
Managing, Describing, and Analyzing Data at Coursera Overview
Duration | 5 hours |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website  |
Credential | Certificate |
Managing, Describing, and Analyzing Data at Coursera Highlights
- Earn a Certificate of completion from University of Colorado Boulder on successful course completion
- Instructor - Wendy Martin - W. Edwards Deming Professor of Management, University of Colorado Boulder
- Shareable Certificate
- Financial Aid Available
Managing, Describing, and Analyzing Data at Coursera Course details
- This course is designed for those who want to understand the data, correctly classify it and make correct decisions.
- In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used in the analysis of data. You will analyze data sets using the appropriate probability distribution. Finally, you will learn the basics of sampling error, sampling distributions, and errors in decision-making.
Managing, Describing, and Analyzing Data at Coursera Curriculum
Week 1 - Data and Measurement
Welcome to Managing, Describing and Analyzing Data
Types of Data and Measurement Scales
Measurement Scales: Nominal and Ordinal
Measurement Scales: Interval, Ratio and Absolute
Measurement as a Process, The Big 5 Aspects of Data
Sampling Concepts
Working in RStudio
1 practice exercise
Week 2 - Describing Data Graphically
Create a Run Chart
Frequency Distributions
Frequency Polygons and Histograms
Histogram Patterns and Density Plots
Box and Whisker Plots
1 practice exercise
Week 3 - Describing Data Numerically
Measures of Central Tendency Mean
Measures of Central Tendency: Median, Mode
Measures of Position
Measures of Dispersion
Measures of Shape
Measures of Relationship
1 practice exercise
Week 4 - Probability and Probability Distributions
Introduction to Probability Part
Introduction to Probability Part
Probability Distributions Part
Probability Distributions Part
The Binomial Distribution1
The Poisson Distribution
The Normal Distribution1
The Exponential Distribution
1 practice exercise
Week 5 - Sampling Distributions and Error
Sampling Error
Random Sampling Distributions
The Central Theorem
Probability with RSDs
Type I and Type II Error
1 practice exercise
Managing, Describing, and Analyzing Data at Coursera Admission Process
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