Advanced Statistics For Data Science
- Offered byTata Steel
Advanced Statistics For Data Science at Tata Steel Overview
Advanced Statistics For Data Science
at Tata Steel
Deep dive into Statistics and learn all the basic and advanced topics in Statistics for Data Science
Duration | 1 hour |
Mode of learning | Online |
Schedule type | Self paced |
Credential | Certificate |
Advanced Statistics For Data Science at Tata Steel Course details
Advanced Statistics For Data Science
at Tata Steel
Skills you will learn
What are the course deliverables?
- Understand and explain Central Limit Theorem
- Identify Null and Alternate Hypothesis
- Understand Critical value and P-value approach
- Describe the concepts in Hypothesis Testing
- Understand the terms and notation used in Hypothesis Testing
- Recognize the Types of Errors
More about this course
- This in-depth course starts from a complete beginner perspective
- It introduces learner to the various facets of statistics and concepts required to solve business problems and help them make better business decisions from data.
Advanced Statistics For Data Science at Tata Steel Curriculum
Advanced Statistics For Data Science
at Tata Steel
Central Limit Theorem
Formulate Null and Alternate hypothesis
One-Tailed test
P-Value approach
Real-life consequences of both these errors
Hypothesis Testing
Critical Value approach
Two-Test test
Type-I and Type-II error
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