DataHour: Practical Hypothesis Testing
DataHour: Practical Hypothesis Testing
22 Nov 202213:11pm - 22 Nov 202214:11pm
DataHour: Practical Hypothesis Testing
About the Event
In this DataHour, Prashant will cover the following topics:
- What is Normal Distribution and Central Limit Theorem
- What are the steps for hypothesis testing, types of tests, critical values, alpha & p-values and how they are calculated using Python
- 5 hands-on exercises including z-test & t-test for population means, independent sample t-test, paired sample t-tests, and chi-squared goodness of fit test using actual real-life business problems with datasets.
Prerequisites: Basic understanding of Python programming and strong interest in statistics and Data Science.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Prashant Sahu is a passionate Corporate Trainer & Consultant with more than 10 years of experience in Data Analytics, Machine Learning & Deep Learning applications. Currently working with Analytics Vidhya as Manager for Data Science Trainings, and is finishing his PhD from IIT Bombay.
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Registration Details
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