Probability Distributions: Uniform, Binomial, & Poisson Distributions

Python 3.7    |    Intermediate
  • 11 videos | 1h 28m 46s
  • Includes Assessment
  • Earns a Badge
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Python libraries, such as NumPy and SciPy, are used for mathematical and numerical analysis. Through this course, learn how to generate uniform, binomial, and Poisson distributions using these libraries. Begin by exploring uniform distributions and delve into continuous and discrete distributions. You will then explore binomial distributions in-depth, including real-life situations where they can be applied. This course will also help you learn more about Poisson distributions and recognize their use cases. While examining these distributions, you will use functions, such as the probability density or probability mass functions and cumulative distributions functions, among others, to make estimations from your data. Upon completion of this course, you'll have the skills and knowledge to implement and visualize uniform, binomial, and Poisson distributions in Python.


  • discover the key concepts covered in this course
    use SciPy to generate uniformly distributed samples
    analyze a uniform distribution by using cumulative distribution and probability density functions
    generate discrete uniform data using NumPy and SciPy and evaluate the distributions
    describe binomial distributions and generate one using SciPy
    simulate trials with binomial distributions in SciPy
  • explore cumulative distribution, probability mass, and survival functions with binomial data
    describe the Poisson distribution and its applications
    invoke functions available in SciPy to work with Poisson distributions
    apply Poisson distributions to make estimates in real-life situations
    summarize the key concepts covered in this course


  • 1m 55s
  • 7m 1s
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    3.  Exploring the CDF, PDF, and PPF Functions
    10m 49s
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    4.  Generating and Sampling Uniform Data
    11m 21s
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    5.  Generating Binomial Distributions
    7m 38s
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    6.  Using Binomial Distributions
    8m 13s
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    7.  Performing Computations on Binomial Distributions
    12m 2s
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    8.  Using Poisson Distribution
    8m 48s
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    9.  Exploring Functions for Poisson Distributions
    10m 5s
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    10.  Applying Poisson Distributions
    9m 4s
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    11.  Course Summary
    1m 52s


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