Exploratory Data Analysis Courses and Certifications

Coursera

Data Analysis and Exploration

Summarize and profile datasets using aggregation, cross-tabulation, frequency analysis, and measures of central tendency, then explore variable relationships with correlation and charts to support segmentation.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Clean, Analyze, and Visualize Your Data

Clean and validate datasets with Python and Pandera, then apply t-SNE in Jupyter labs to visualize high-dimensional data and spot hidden clusters, outliers, and anomalies.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Data Science Fundamentals, Part 2: Data–Analysis and Visualization

Explore data with Python's matplotlib and seaborn: build histograms, boxplots, and scatter plots, spot correlations, and avoid pitfalls like Simpson's Paradox.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Coursera

Descriptive Statistics and Data Visualization

Explore datasets in Python with pandas and seaborn/matplotlib, compute central tendency, dispersion and frequency summaries, then build comparison charts against KPIs and targets in Tableau.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Packt

Building a Fitness Tracker

Build a fitness tracker with AI-assisted Python: clean fitness data, uncover trends through exploratory analysis, and create interactive Plotly visualizations to monitor performance over time.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Data Exploration

In this course, students will learn how to explore, visualize, and summarize data with Python to uncover insights for business decision-making. Real-world case studies will help learners practice prob

• edX
• 4 weeks, 4-8 hours a week
• Self-Paced
• Free Online Course (Audit)

Understanding Data Visualization

12649 ratings at DataCamp

Visualizing data using charts, graphs, and maps is one of the most impactful ways to communicate complex data.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Exploratory Data Analysis

38 ratings

Apply exploratory data analysis techniques to a real-world dataset in Python, building visual methods and maps to analyze trends, patterns, and relationships.

• Coursera
• 1-2 hours
• No Longer Offered
• Paid Course

Take off with Stats in Python

Use Python and pandas to explore real-world data, clean and organize it, and uncover insights through visualizations.

• Independent
• Self-Paced
• Free Online Course

Packt

Exploratory Data Analysis & Core ML Algorithms

Clean and visualize datasets with EDA, then build linear and logistic regression, Naive Bayes, and decision tree models using AUC-ROC, entropy, Gini index, and hyperparameter tuning.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

(UPI) Chapter 17: Key Concepts in Data Analysis: Indexing, Slicing, Missing Data, and Visualization Course (How To)

80-minute College Credit course: This course is part of our College Credit Program, designed to help you earn college credit while mastering valuab...

• Treehouse
• 1 hour
• Self-Paced
• Free Trial Available

Go Beyond the Numbers: Translate Data into Insights

Practice exploratory data analysis, data cleaning, and Tableau visualization to turn raw datasets into compelling stories and actionable insights.

• Google Skills
• 27 hours
• Self-Paced
• Paid Course

Career Certificate

Data Science: Foundations using R

48236 ratings at Coursera

Learn R programming, get and clean data sets, explore them with visualizations, and conduct reproducible research to communicate results.

• Coursera
• 16 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Introduction to Probability and Data with R

6 ratings

Learn to design studies, sample data, and explore it with numeric summaries and visualizations in R and RStudio, plus probability, Bayes' rule, normal and binomial distributions.

• Coursera
• 8 weeks, 2 hours a week
• Self-Paced
• Paid Course

Introduction to the Tidyverse

1163 ratings at DataCamp

This is an introduction to the programming language R, focused on a powerful set of tools known as the Tidyverse.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available