Calculating Descriptive Statistics in R
Welcome to this 2-hour long project-based course Calculating Descriptive Statistics in R. In this project, you will learn how to perform extensive descriptive statistics on both quantitative and qualitative variables in R. You will also learn how to calculate the frequency and percentage of categorical variables and check the distribution of quantitative variables.
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- Level Foundation
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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Offered by
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Welcome to this 2-hour long project-based course Calculating Descriptive Statistics in R. In this project, you will learn how to perform extensive descriptive statistics on both quantitative and qualitative variables in R. You will also learn how to calculate the frequency and percentage of categorical variables and check the distribution of quantitative variables. By extension, you will learn how to perform univariate and bivariate statistics for univariate and bivariate variables in R. Note: You do not need to be a Data Scientist to be successful in this guided project, just a familiarity with basic statistics and using R suffice for this project. If you are not familiar with R and want to learn the basics, start with my previous guided project titled “Getting Started with R”.الوحدات
Practical Application via Rhyme
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3
Readings
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1
Plugin
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1
Lab
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2
Assignment
2
Assignment
- Check Your Understanding
- Graded Quiz: Calculating Descriptive Statistics in R
1
Labs
- Calculating Descriptive Statistics in R
3
Readings
- Project-based Course Overview
- Calculating Descriptive Statistics in R File & Data sets
- Additional Resources: Massive list of R data sets
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Discover the essentials of descriptive statistics in R with this 2-hour beginner course. Ideal for those with basic statistics knowledge, you'll explore univariate and bivariate statistics, calculate frequencies, and analyze distributions. No data science expertise is required. Available for free on Coursera.
Arimoro Olayinka Imisioluwa