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.
Offered By
Managing, Describing, and Analyzing Data
University of Colorado BoulderAbout this Course
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Shareable Certificate
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Beginner Level
Beginner level; no previous experience necessary.
Approx. 11 hours to complete
English
Subtitles: English
Skills you will gain
describing dataanalyzing dataDecision-Makingusing Rgraphing data
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
Beginner level; no previous experience necessary.
Approx. 11 hours to complete
English
Subtitles: English
Offered by
University of Colorado Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Syllabus - What you will learn from this course
2 hours to complete
Data and Measurement
Upon completion of this module, students will be able to use R and R Studio to work with data and classify types of data using measurement scales.
2 hours to complete
7 videos (Total 47 min)
7 videos
Types of Data and Measurement Scales6m
Measurement Scales: Nominal and Ordinal6m
Measurement Scales: Interval, Ratio and Absolute6m
Measurement as a Process, The Big 5 Aspects of Data10m
Sampling Concepts6m
Working in RStudio10m
1 practice exercise
End of Module One Assessment45m
2 hours to complete
Describing Data Graphically
Upon completion of this module, students will be able to use R and R Studio to create visual representations of data.
2 hours to complete
5 videos (Total 39 min)
5 videos
Frequency Distributions7m
Frequency Polygons and Histograms7m
Histogram Patterns and Density Plots7m
Box and Whisker Plots7m
1 practice exercise
End of Module Two Assessment1h 15m
2 hours to complete
Describing Data Numerically
Upon completion of this module, students will be able to use R and R Studio to calculate descriptive statistics to describe location, spread and shape of data.
2 hours to complete
6 videos (Total 46 min)
6 videos
Measures of Central Tendency: Median, Mode6m
Measures of Position8m
Measures of Dispersion 7m
Measures of Shape6m
Measures of Relationship6m
1 practice exercise
End of Module Three Assessment1h 15m
3 hours to complete
Probability and Probability Distributions
Upon completion of this module, students will be able to apply the rules and conditions of probability and probability distributions to make decisions and solve problems using R and R Studio.
3 hours to complete
8 videos (Total 69 min)
8 videos
Introduction to Probability Part 28m
Probability Distributions Part 15m
Probability Distributions Part 27m
The Binomial Distribution10m
The Poisson Distribution8m
The Normal Distribution12m
The Exponential Distribution9m
1 practice exercise
End of Module Four Assessment2h
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