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THIS MODULE IS PART OF THE BUSINESS ANALYTICS CERTIFICATE

Hypothesis Testing and Statistical Inference

Explore stats in action. Discover how to test hypotheses, analyse data, and run A/B tests to uncover cause-and-effect relationships.
4 main lessons
1 exercise
Module length:223 minutes

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Why this module matters
Data-Driven Decisions

Hypothesis testing and statistical inference allow for making decisions based on data and evidence rather than assumptions.

Evaluate Validity

These methods assess the validity, reliability, and significance of findings, ensuring that conclusions drawn from data are robust and meaningful.

Compare Scenarios

Statistical techniques help compare and contrast different strategies and outcomes, providing clarity and direction in decision-making.

Learning Goals

A detailed breakdown of the main learning goals for this module

  • Understand the applications of statistical inference.

  • Evaluate hypothesis testing.

  • Set up an A/B test to establish causality.

Practice with hands-on exercises

Use the Hypothesis Testing Canvas to plan and conduct a statistical analysis, including test preparation, setup, and evaluation, to make data-driven decisions and establish causality in 60 minutes.

Instructor

Mauricio Bernardo da Silva

Data & AI Expert

Mauricio has worked in analytical and training roles in big tech for over five years, as well as in small companies across Europe. His diverse industry experience has given him a broad knowledge of processes and metrics, and how to efficiently utilize data to reach business goals. At Growth Tribe, Mauricio helps individuals intuitively understand complex topics and enhance their thinking and execution of data initiatives. His wide range of interests led him to study and work in music production, film, marketing, corporate training, and data science. Between art and science, Mauricio found he could mix it all by becoming a trainer in technology and data science. You can connect with Mauricio on LinkedIn via this link.

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