Probability Distributions: Understanding Normal Distributions
Python 3.7 | Intermediate
- 8 videos | 1h 4m 2s
- Includes Assessment
- Earns a Badge
This course dives deep into normal distributions, also known as Gaussian distributions, while also introducing you to the law of large numbers and the Central Limit Theorem. You will begin by using Python's SciPy library to generate a normal distribution and examine the use of several available functions that allow you to make estimations on normally distributed data. This course will also help you understand and visualize the law of large numbers and explore the Central Limit theorem by generating multiple samples and analyzing them. After you are done with this course, you'll have the skills and knowledge to analyze data and build your own models.
WHAT YOU WILL LEARN
discover the key concepts covered in this coursedescribe normal distributions and their characteristicsuse the cumulative distribution function (CDF) of a normal distribution and recognize how the mean and standard deviation (SD) influence itvisualize the cumulative distribution function (CDF) for different standard deviations
recall the symmetrical features of normal distributionsexplain the law of large numbers programmaticallyrecall the central limit theorem and recognize its applicationssummarize the key concepts covered in this course
IN THIS COURSE
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