Statistics for Data Science | Probability and Statistics | Statistics Tutorial | Ph.D. (Stanford)



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One of the most critical aspects of the data science approach is our perception of getting the information processed. In developing insights from our accumulated data, we dig out the possibilities. And those possibilities are known as statistical analysis in Data science.
Statistics acts as a tool to gather, extract, analyze, and review data, which is an input to Data science techniques; hence, learning statistics is a baby step toward becoming a data scientist. Great Learning‘s Statistics for Data Science course is for beginners and professionals who want to upgrade their skills in data science domains and learn everything about statistical analysis. This course covers the topics mentioned below:-
🔹 Topics Covered:
Introduction – 00:00:00
1. Statistics vs Machine Learning – 00:02:22
2. Types of Statistics [Descriptive, Prescriptive and Predictive – 00:09:05
3. Types of Data – 1:50:45
4. Correlation – 2:46:02
5. Covariance – 2:52:33
6. Introduction to Probability – 4:26:55
7. Conditional Probability with Baye’s Theorem – 5:24:00
8. Binomial Distribution – 6:17:01
9. Poisson Distribution – 6:36:02

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Hadoop Full Course: https://www.youtube.com/watch?v=JK2MdJAWEGc
Time series analysis: https://www.youtube.com/watch?v=FPM6it4v8MY&t=8209s
Tableau Training for Beginners: https://www.youtube.com/watch?v=6mBtTNggkUk&t=994s
Python for Data Science: https://www.youtube.com/watch?v=edvg4eHi_Mw&t=17669s
Artificial Intelligence Tutorial: https://www.youtube.com/watch?v=opgTF9Yf3Dk&t=729s

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29 thoughts on “Statistics for Data Science | Probability and Statistics | Statistics Tutorial | Ph.D. (Stanford)”
  1. Great Learning offers a range of extensive Data Science courses that enable candidates for diverse work professions in Data Science and other trending domains. The faculty team of the Data Science Courses comprises top academicians in Data Science along with many skilled industry practitioners from leading organizations that practice Data Science. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: https://glacad.me/3whKUsQ

  2. Nice 👍 Video could you please make videos on ORACLE APPLICATIO N CLOUD ,ORACLE OAF,ORACLE ADF IN HINDI?????

  3. The stock market seems a bad example, no one has succesfully devised a method to predict the markets

  4. He is really a great professor. I have been studying statistics since school and then using years for my profession. However, the way he teach and explain from one chapter to another chapter and subject is super. Thanks

  5. Very easy explanation, I can watch this many times instead of watching a movie or web series, seems like someone narrating a beautiful story

  6. I am a bsc graduate and working in a data network as project enginer can I do this course I want to change my professional

  7. hiii sir and great learning..I'm completed my Bachelor's 2014 BSC (Mstcs -: Maths Stats computer science).and my MBA HR completed 2019 now I will try learn Datascience…after competition of the course then getting the job is available for freshers..because caree gap actually I was preparing competative exams…freshers openings in Datascience is available please tell me sir

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