Statistics and Hypothesis Testing

This course is designed to provide learners with a comprehensive understanding of statistical concepts and hypothesis testing using Python.

4.8

Data Science

Intermediate

Difficulty

Hours per week

Live Sessions

Next Date

Objective

Understand foundational statistical concepts and principles
Learn how to use Python for statistical analysis and hypothesis testing
Develop the ability to interpret and communicate statistical results effectively
Apply statistical techniques to solve real-world business problems

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Basic knowledge of Python programming language
Familiarity with statistical concepts such as probability, distributions, and hypothesis testing

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Statistics Fundamentals

Essential concepts and techniques of statistics, providing you with a solid understanding of how to analyze and interpret data.

Hyphotesis Testing

Skills to perform hypothesis tests confidently, enabling you to make informed decisions based on statistical evidence.

A/B Testing

Knowledge and skills to plan, execute, and interpret A/B tests effectively, empowering you to make data-backed decisions and optimize processes.

Mentor to be defined.

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