Hypothesis Testing Statistics | Hypothesis Testing | Data Science | Edureka Rewind - 4

This Edureka video on "Hypothesis Testing Statistics” will provide you with a comprehensive and detailed understanding of concepts of Statistical Hypothesis Testing. Moreover, it also includes the Industrial Demonstration of Hypothesis Testing.
Following pointers are covered in this 'Hypothesis Testing Statistics' video:
0:00:00 Agenda
00:01:02 Introduction of Hypothesis Testing
00:03:14 Null & Alternate Hypothesis
00:07:42 Critical Value Method
00:18:34 P-value Method
00:20:28 Types of Errors
00:22:12 Case Study
00:33:29 Industry Demonstration

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
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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.