- Exploratory Data Analysis and Essential Statistics

This session introduces students how to use EDA and some fundemental concepts of statistical methods to uncover patterns, anomalies, and frame questions in data. Students will learn foundational measures and techniques for data interpretation, and they will have the opportunity to apply EDA and statistical methods on datasets through hands-on exercises.

• Deep Dive into EDA: Uncover patterns, anomalies, and frame questions.
• Key Statistical Concepts: Foundational measures and techniques for data interpretation.
• Hands-on Analysis: Apply EDA and statistical methods on datasets.

Part 1: Statistics refresher

• Notebook statistics refresher

Part 2: Further concepts

• Notebook propability distributions
• Notebook AB testing

Further studies

Recommended DataCamp courses

• Intyroduction to statistics (no coding)
• Statistical Thinking in Python I
• Statistical Thinking in Python II
• Statistical Simulation in Python

Recommended readings

• Econometrics with Python - Causal Inference for The Brave and True: More thorrough inferential statistics in Python

###€ Further resources