#edXCourses #EDXCOURSESforFree #DataScience #TheEngineerGuy
Courses:
1. Data Science: Probability - https://online-learning.harvard.edu/c...
2. Data Science: Inference and Modeling - https://online-learning.harvard.edu/c...
3. Data Science: Productivity Tools - https://online-learning.harvard.edu/c...
4. Data Science: R Basics - https://online-learning.harvard.edu/c...
5. Data Science: Wrangling - https://online-learning.harvard.edu/c...
6. Data Science: Linear Regression - https://online-learning.harvard.edu/c...
7. Data Science: Machine Learning - https://online-learning.harvard.edu/c...
8. Data Science: Visualization - https://online-learning.harvard.edu/c...
9. Data Science: Capstone - https://online-learning.harvard.edu/c...
10. Statistics and R - https://online-learning.harvard.edu/c...
11. Introduction to Linear Models and Matrix Algebra - https://online-learning.harvard.edu/c...
12. High-Dimensional Data Analysis - https://online-learning.harvard.edu/c...
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About Me:
Hi Everyone,
I’m Md. Kaish Ansari Data Science Enthusiast and always tries to learn new things. 20 Years Old Computer Science Student. Interested in machine learning. Love solving algorithmic challenges, learning new algorithms, data structures and building things from scratch. In this channel I upload 2-3 videos every week about new skills out there and mainly I concern with Data Science.
Personal Email: [email protected]
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In This Video:
Course description
In this course, part of our Professional Certificate Program in Data Science, you will learn valuable concepts in probability theory. The motivation for this course is the circumstances surrounding the financial crisis of 2007–2008. Part of what caused this financial crisis was that the risk of some securities sold by financial institutions was underestimated. To begin to understand this very complicated event, we need to understand the basics of probability.
We will introduce important concepts such as random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem. These statistical concepts are fundamental to conducting statistical tests on data and understanding whether the data you are analyzing is likely occurring due to an experimental method or to chance.
Probability theory is the mathematical foundation of statistical inference which is indispensable for analyzing data affected by chance, and thus essential for data scientists.
About Harvard University:
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