Statistics Tutorial with Python

I'm going to make a New Tutorial Everyday for at least the next 2 weeks! I'll upload the next episode every day at 1 PM EST.

Here I'll cover the basics of Statistics, Data Types, Visualizing Data, Mean, Median, Mode, Variance, Standard Deviation, Coefficient of Variation, Covariance and Correlation Coefficient and the Python Code.

After my last tutorial on Statistics people were asking for a more detailed tutorial. So this series will cover not only the topics in more depth, but it will also include all the Python code used to make all the Statistics formulas. By the end you'll have a huge Python Statistics module you can use to do amazing things!

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#LearnWithMe #NewVideoEveryday #Statistics

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[derekbanas]

Everyday for at least the next 2 weeks I'll upload a new video every day at 1 PM EST. I'm doing this because I've been asked to make more videos that go into more detail on a regular basis. If you like this I'll continue doing it. Tell me what you think?

[dusanchovanec]

I'm your fan Derek...love your videos. Great thanks for what you do. Just one thing, for median - you should have considered indeces in the list, maybe order values too. I am trying to solve indeces and it seems I did it(your codes for even values shows 4.5, as it should 3.5)

list = (1, 2, 3, 4, 5, 6, 7, 8, )
i = len(list) - round((len(list) / 2) + 1) 
print(i)
j = i + 1 
print((list[i] + list[j]) / 2)

[Georgeisbusting]

Hands down, this is some of the best training I have taken. And for free. Derek is great at explanation, providing practical examples, and reinforcing important topics. For that I bought his python course on Udemy, especially since he included this training in his course. Everything organized in one course. Great stuff!

[prathamvaidya]

Good to see "Andy Bernard" teaching statistics.

[andreazecchi]

Totally awesome tutorial. Excellent, Derek, as usual! Greetings from Rome, in Italy! 👋

[masoud]

awesome continuation of the last video. You're a legend Derek. A mind-reader! :) Thanks

[dailycodingproblem]

I'm 2 days away from turning 93 and Derek inspired me to create my own tutorials! I don't talk as good as he does though.

[qiliu]

I don't know how to thank you. You provide everything what I truly need. And you successfully make the contents very very practical. WoW!

[johnbubu]

I wish I could have your brain power, thank you very much for taking the time to do all these tutorials 🙏

[CS]

Hello! Thank you so much for this. I just got your Python course on Udemy and noticed that data analysis with Python module is missing. Do you plan to add it sometime in the near future? If not could you please please make a tutorial about data analysis with python in depth like this one? You're literally the best teacher on the Internet and I can't thank you enough, God bless you! I remember reading you don't get notifications for replies so I made a separate comment, hope you don't mind!

[yksatikifi]

Thank you very much for all your effort, it is very much appreciated. 
The list comprehension does not do what you think it does in covariance and correlation_coefficient functions. In fact it is not needed at all. It loops only once and wraps the result in unnecessary extra list, introducing the need for the ugly unnecessary [0] later on in the functions. If the data passed as argument would be transpose of what it is now, the list comprehension would make sense.

[omari]

Funny how i took a two levels of statistics on college and can't really use what I learned with what I remember. Now that I actually do need it several years later, here I am re-learning. This re-learning process is no different than if I were picking up a completely new subject though. So then I wonder what use is it in the first place if I forgotten it before I actually needed it lol.

Totally changed my view on learning, so I'm all project based learning now, learn what I need when I need it :), minus when I have any personal projects of course, but then that further alienates that classroom setting for particular subjects, depending on how you intend to use them.

[shyamkumarbhattarai]

Are there any practice exercises?
Could you please mentioned?

[arpitagec]

Nice!! Would you cover PDF and CDF pls?

[raphaellagarde]

Why do you wright *list_1[0] and list_1[0] and not just list_1 for the covariance function?
Love your course by the way 😁

[daddtdas]

Thank you so much for your hard work and time doing this, Really helps.

[shyamkumarbhattarai]

The median of list has to be equal to 3.5
There is small error Derek Sir

[abrilgonzalez]

Does this example work the same good as if I wanted to practice in Windows Jupiter Anaconda Library intead of Apple?
Thanks!

[saptarshisanyal]

For calculation of median, you need to first sort the data and then proceed

[alyahyai]

Every other software out there, highlight data & click (Summary Statistics) :)
Thanks though, that was easy to follow & understand