Statistics and Probability for Data Science - Edureka Tutorial
Join Edureka's live tutorial on Statistics and Probability for Data Science, designed to enhance your understanding and skills in data science using Python.
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๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐ ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐ : https://www.edureka.co/data-science-python-certification-course (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐)
This session on Statistics And Probability will cover all the fundamentals of stats and probability.
Topics Covered :
00:00:00 Introduction
00:01:11 Probability
00:02:13 Probability - Terminologies
00:03:33 Probability - Types of Events
00:04:46 Probability - Distribution
00:05:10 Probability - PDF
00:07:00 Probability - Normal Distribution
00:11:36 Probability - Central Limit Theorem
00:11:40 Probability - Types of Probability
00:12:01 Probability - Marginal Probability
00:12:48 Probability - Joint Probability
00:13:14 Probability - Conditional Probability
00:15:11 Probability - Bayes Theorem
00:16:30 Probability - Applications
00:17:12 Statistics
00:17:40 Statistics - Terminologies
00:19:12 Statistics - Sampling technique
00:21:30 Statistics - Types of Statistics
00:24:26 Statistics - Measures of Center
00:26:02 Statistics - Measures of Spread
00:32:22 Statistics - Hands-on
00:33:26 Statistics - Information Gain
00:38:32 Statistics - Inferential Statistics
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Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech.
About Course:
Why Learn Python for Data Science?
Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
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Nov 3, 2022
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