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5 Concepts in Statistics You Should Know | Data Science Interview 

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====== ✅ Details ======
Dan, formerly a data scientist at Google and PayPal, reviews 5 fundamental topics candidates need to review in preparation for data science interviews. These are topics that are asked in business-case, statistics, and statistical-coding rounds. For more prep content, check out datainterview.com/
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====== ⏱️ Timestamps ======
0:00 Intro
00:51 Central Tendency
05:05 Dispersion
06:17 Correlation
10:42 Normal Distribution
12:53 Hypothesis Testing
20:00 Other Concepts to Know
20:41 Conclusion
====== 📚 Other Useful Contents ======
1. Principles and Frameworks of Product Metrics | RU-vid Case Study
Link: / principles-and-framewo...
2. How to Crack the Data Scientist Case Interview
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3. How to Crack the Amazon Data Scientist Interview
Link: / crack-the-amazon-data-...
====== Connect ======
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📘 Medium - / datainterview

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30 июл 2024

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Комментарии : 30   
@WebsterLincoln
@WebsterLincoln 2 года назад
I would describe that as a positively skewed normal distribution, not an exponential distribution. Also, it's the 68-95-99.7 rule
@abdallahelmoctar7635
@abdallahelmoctar7635 Год назад
Such a simple and straight forward refresher. I'm grateful for your work
@annizheng5289
@annizheng5289 7 дней назад
Nice for having a brush up! Thank you!
@mahmutozmen1261
@mahmutozmen1261 2 года назад
Thanks for such a great content and your effort. Would you mind explaining further why you think that mode = median? Since this graph seems like a positively skewed graph, I though mode is around 3, median 4 or 5 and mean between 6 and 10.
@AllieZhao
@AllieZhao 2 года назад
These are crucial concepts. Thanks
@shir0tei
@shir0tei 2 года назад
Thanks for the video! I The correlation formula is wrong though, the covariance is the numerator divided by n.
@phdwithsam
@phdwithsam Год назад
Could you mention tools used to design and present your slides thanks!!!
@RedShipsofSpainAgain
@RedShipsofSpainAgain Год назад
11:16. I think you have a typo: The Normal distribution should be 68-95-99.7%, not 65-95-99.7%
@basmaelkhamlichi8223
@basmaelkhamlichi8223 2 года назад
Hypothesis testing and P value nicely explained, thank you!
@DataInterview
@DataInterview 2 года назад
Thank you!
@jacksun7999
@jacksun7999 2 месяца назад
6:43 should the numerator be cov(X,Y)? Seems there is a 1/(N-1) term missing.
@dreamingaparisdream3178
@dreamingaparisdream3178 2 года назад
Also where is the link for Meta Statistical Interview questions video please?
@jcokonkwo
@jcokonkwo 2 года назад
I definitely appreciate the explanation then the applied DS examples right after. Thank you!
@DataInterview
@DataInterview 2 года назад
That's the best way to learn :)
@ayushmathur5984
@ayushmathur5984 12 дней назад
in #2 at 4.30 mins how he told that mean,median and mode value can anyone explain please
@HarryPotter-st2cn
@HarryPotter-st2cn 2 года назад
Great content. Is non-normal distributions listed separately to put emphasis on it? I believe it will be included within the concept of the overall distributions
@anirbansarkar6306
@anirbansarkar6306 11 месяцев назад
Can you help me understand on what basis have you assumed population standard deviation to be 20?
@benxneo
@benxneo 2 года назад
could you give me ideas for data science projects that deliver value to businesses
@bandai2
@bandai2 2 года назад
could you also use Spearman Correlation if you have outliers in your data?
@eresque7766
@eresque7766 Год назад
late but yeah u could
@pal999
@pal999 2 года назад
If you're using a real world example, you shouldn't "ASSUME" the SD to be something. Can you find out how it's determined in real world?
@dreamingaparisdream3178
@dreamingaparisdream3178 2 года назад
For the normal distribution, is it 66-95-99.7 rule or 68-95-99.7?
@TheNIK21HIL
@TheNIK21HIL 2 года назад
it is 68% within 1 SD. it must be a typo on Dan's end. The graph though does represent it correctly.
@ASHISHDHIMAN1610
@ASHISHDHIMAN1610 2 года назад
@@TheNIK21HIL yeah typo
@Foba_Bett
@Foba_Bett Год назад
I am binge-watching your channel ! 😎 In the correlation section - why not just straight up remove the outliers? 🤔
@gaboqv
@gaboqv Год назад
that's what he is telling with a fancy name, you will use quartiles to confirm which of the points are outliers
@stanislavdidenko8436
@stanislavdidenko8436 Год назад
2pm - poisson distribution
@BrianSalamone
@BrianSalamone 4 месяца назад
1:08 8 hours a day in Facebook????? What is the X at the bottom?
@michaell9804
@michaell9804 2 года назад
You failed to mention bayes theorem and binomial distribution which is used here just as heavily as normal distribution particularly when quantifying the probability distribution of the accuracy of unsupervised learning models. This video is not comprehensive at all
@Omegageekk
@Omegageekk 2 года назад
If you thought a video titled “5 concepts in statistics you should know” would be a comprehensive breakdown of literally every stats concept you need for data science, then I have a bridge to sell you.
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