Statistical Analysis and Modeling in R: Working with Probability Distributions

R Programming 4.0+    |    Intermediate
  • 12 videos | 1h 38m 24s
  • Includes Assessment
  • Earns a Badge
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Interpreting data is a core pre-processing step in data analysis and modeling. Use this course to practice using various dynamic statistical tools to explore and understand your data. During this course, you'll explore population distributions to model random variables, work with discrete and continuous probability distributions, and use discrete probability distribution types, such as the uniform, binomial, and Poisson distributions. You'll also examine continuous distributions, such as the normal and the exponential distributions. You'll round the course off by learning how to read and interpret QQ plots, which can be used to compare the distributions of two samples of data. When you're finished, you'll be able to use probability distributions to model events and understand your data.


  • discover the key concepts covered in this course
    recall the sets of statistical tools used to understand data
    compare and contrast population metrics with sample metrics
    recall the characteristics of discrete and continuous probability distributions
    sample and analyze data that follows uniform distribution
    sample and analyze data which follows binomial distribution
  • calculate probabilities of events in the binomial distribution
    sample and analyze data which follows uniform distribution
    examine and interpret normal distributions and exponential distributions
    interpret QQ plots for normally and non-normally distributed data
    use QQ plots to compare samples from different distributions
    summarize the key concepts covered in this course


  • Playable
    1.  Course Overview
    2m 10s
    In this video, you’ll learn more about the course and your instructor. In this course, you’ll explore statistical tools you can use to explore and understand your data. You’ll learn population distributions to model… FREE ACCESS
  • Playable
    2.  Statistical Tools for Understanding Data
    8m 51s
    In this video, you’ll learn more about statistics. Statistics is a mathematical body of science that pertains to the collection, analysis, interpretation, or explanation, and presentation of data. Statistics is about… FREE ACCESS
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    3.  Population and Sample Metric Comparisons
    7m 37s
    In this video, you’ll learn more about the terms population and sample. The term population refers to all the data that exists in the universe. It's impossible to work with data for the entire population. When you… FREE ACCESS
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    4.  Characteristics of Probability Distribution Types
    11m 52s
    In this video, you’ll learn more about probability distributions. Probability distribution is a mathematical function that shows the possible values for a variable and how often those values occur. The variable refers to… FREE ACCESS
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    5.  Sampling and Analyzing Uniform Distribution Data
    11m 20s
    In this video, you’ll learn more about RStudio to write R code. You’ll see RStudio is a freely available integrated development environment or IDE for R. RStudio includes a console, a syntax-highlighting editor that… FREE ACCESS
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    6.  Sampling and Analyzing Binomial Distribution Data
    8m 48s
    In this video, you’ll learn more about probability distributions. You’ll learn another discrete probability distribution, the binomial distribution. The binomial distribution summarizes the probability that the outcome… FREE ACCESS
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    7.  Computing Probabilities in Binomial Distributions
    10m 20s
    In this video, you’ll learn more about computing probabilities in binomial distributions. You’ll remember the rbinom function from the earlier video gives you data points generated from a binomial distribution with… FREE ACCESS
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    8.  Sampling and Analyzing Poisson Distribution Data
    9m 15s
    In this video, you’ll learn more about the Poisson distribution. The Poisson distribution is also a discrete probability distribution. You’ll learn the Poisson distribution is commonly used to model the number of expected… FREE ACCESS
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    9.  Examining Normal and Exponential Distributions
    9m 26s
    In this video, you’ll learn more about the normal distribution, a continuous probability distribution. The normal distribution is a continuous probability distribution that’s symmetric around the mean or the average of… FREE ACCESS
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    10.  Interpreting QQ Plots Using R
    8m 7s
    In this video, you’ll learn more about QQ plots. QQ Plots are used to assess whether the data you're working with plausibly came from some theoretical distribution. In statistical analysis, you might assume your data… FREE ACCESS
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    11.  Using QQ Plots in R to Compare Datasets
    8m 34s
    In this video, you’ll work with QQ norm and non-normally distributed data. You'll use QQ norm to get a visual check on whether your data points are normally distributed. First, you’ll use the rexp or rexp function to… FREE ACCESS
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    12.  Course Summary
    2m 4s
    In this video, you’ll summarize what you’ve learned in this course. You’ve explored the statistical tools that analysts use to understand and interpret their data. You covered descriptive statistics used to summarize data… FREE ACCESS


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