Python for Data Analysis: Probability Distributions

This video covers the basics of working with probability distributions in Python, including the uniform, normal, binomial, geometric, exponential and Poisson distributions. It also includes a discussion of random number generation and setting the random seed.

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This is lesson 22 of a 30-part introduction to the Python programming language for data analysis and predictive modeling. Link to the code notebook below:

Python for Data Analysis: Probability Distributions

This guide does not assume any prior exposure to Python, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn Python.

I will create the videos for this guide such that you should be able to learn a lot just watching on YouTube, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can copy and edit each lesson so that you can follow along and run code yourself.

Introduction to Python Playlist:

Link to the Python for Data Analysis written guide index page:

[Ahamshep]

While simulating data, a distribution was observed, but the specific type of probability distribution was unknown. Your video provided the answer to this question. Thanks for your great video, you have gained a subscriber.

[bigmao]

This is really helpful for beginners like me. Going through all courses and have learned most concepts needed for data analytics.

[maryamchavoshi]

your videos are so helpful. if you add one or two real data analyst project to your videos, your package would be one of the best. thank you

[abrahamcampos]

Do you have any videos on how to fit data in python?

[Nedwin]

This is what I've been looking for. Thank you!!

Subscribed btw.

[mrboyban]

This content is extremely helpful! Thank you for posting it.

[adingus]

Great stuff as always, amazing amount of information in such a short amount of time and yet still very concise

[BlueSkyGoldSun]

How to use on real dataset, as an example how would I know if one of my columns follows geometric or Poisson distribution?
Also we can't do geomtric, Poisson test on any columns, right?

[jongcheulkim]

Thank you so much. This is very helpful.

[প্রীতমবিশ্বাস]

Hello sir, please help me to find a solution of one of my question

suppose x and y are random number uniformly distributed in the interval (0;1) what would be the distribution of z=x+y

Please guide me how. To do this program .

[ojaswighate]

Nice 😊
Thank you for sharing
Can you please provide coding with example for each distribution?
Kindly guide me
Or can you provide any source to study python for probability distribution please?

[RahulKumar-lvyz]

How can I find mean and variance of probability distribution using python? I have mentioned a problem below. Thanks in advance!
The number of times I go to the gym in weekdays, are given below along with its
associated probability:
x = 0, 1, 2, 3, 4, 5
f(x) = 0.09, 0.15, 0.40, 0.25, 0.10, 0.01
Calculate the mean no. of workouts in a week. Also evaluate the variance involved in
it.

[edgeprobability]

Sucks that the Goat doesn’t make vids anymore :/ dude got me started in python & I can’t thank him enough🥲

[alexladda]

Why does the plot for the uniform distribution not rise/fall to zero below and at the min/max values? I would have expected the values outside the range to be zero and then a near vertical rise/fall at min/max? Is that just interpolation of the plot?

[nasser-eddinemonir]

(16:42) 99% should represent the percentage of the data below 3, not above 3. Isn't it ?

[Captinofthemudslayer]

how would you do this

Say you started a YouTube channel about a year ago. You’ve done quite well so far and have collected some data. You want to know the probability of at least x visitors to your channel given some time period. The obvious choice in distributions is the Poisson distribution which depends only on one parameter, λ, which is the average number of occurrences per interval. We want to estimate this parameter using Maximum Likelihood Estimation.

Simulate 100 visits to your youtube channel, assuming that they will a Poisson distribution with a mean of 10 visits per minute. Plot the arrival time vs visitor index.

[bigvinweasel]

Hey, I can solve this problem using the formula longhand with Python. Do you know an easier way to accomplish this with scipy? The problem is: What is the probability that the world series will last 4 games? 5 games? 6 games? 7 games? Assume that the teams are evenly matched.

[elnarememmedova]

How to create function for uniform distribution in python ?

[vardhandara]

How to give the data manually and calculate cdf pdf