Exploratory Data Analysis (EDA) is a critical step in the data analysis process where analysts use visual and quantitative techniques to uncover patterns, spot anomalies, test hypotheses, and check assumptions. EDA helps in understanding the underlying structure of the data, guiding the selection of appropriate models and ensuring the validity of the results.

Exploratory Data Analysis

data analysis process

Visual techniques

quantitative techniques

uncover patterns

spot anomalies

test hypotheses

check assumptions

underlying structure of the data

selection of appropriate models

validity of the results

Getting Started with Python for Data Analysis

Creando gráficos interactivos con Plotly y Python

Foundations of Data Analysis

Introduction to Data Analysis

Data Exploration

Statistical Analysis

Data Manipulation with Pandas

Relevant Degrees

Your Lessons