Exploratory Data Analysis

Exploratory Data Analysis (EDA) is a statistical approach that involves visualizing and understanding the patterns, trends, and relationships within data prior to formal modeling or hypothesis testing. Coursera's EDA catalogue helps you develop a comprehensive understanding of how to summarize, visualize, and interpret various types of data. You'll learn how to use graphical and quantitative methods to gain insights into data, uncover underlying structure, extract important variables, identify outliers and anomalies, and test underlying assumptions. You'll refine your analytical thinking skills and learn to effectively communicate results through informative visualizations, preparing you for roles in data science, statistics, and analytics.
97credentials
6online degrees
296courses

Filter by

Skip to search results

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Learn a new tool or skill in an interactive, hands-on environment.
Get in-depth knowledge of a subject by completing a series of courses and projects.
Earn career credentials from industry leaders that demonstrate your expertise.
Earn career credentials while taking courses that count towards your Master’s degree.
Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Explore the Exploratory Data Analysis Course Catalog

  • Status: Free Trial

    SkillUp

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Statistical Hypothesis Testing, Process Capability, Statistical Analysis, Data Analysis, Continuous Improvement Process, Project Management, Statistics, Work Breakdown Structure, Lean Six Sigma, Operational Excellence, Process Analysis, Quality Improvement, Data Collection, Process Improvement, Stakeholder Management, Quality Management

    4.3
    Rating, 4.3 out of 5 stars
    25 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    172 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview

    Edureka

    Skills you'll gain: Marketing Effectiveness, Case Studies, Applied Machine Learning, Emerging Technologies, Predictive Modeling, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Looker (Software), Performance Tuning, Query Languages, Exploratory Data Analysis, Database Management, Continuous Monitoring, Data Analysis, System Monitoring, Google Cloud Platform

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview

    Northeastern University

    Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Tableau Software, Infographics, Dashboard, Data Analysis, Data-Driven Decision-Making, Data Ethics, Trend Analysis, Business Analytics, Peer Review

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Fred Hutchinson Cancer Center

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    4
    Rating, 4 out of 5 stars
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Edureka

    Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Looker (Software), Pivot Tables And Charts, Dashboard, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages

    Beginner · Project · Less Than 2 Hours

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    LearnQuest

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Machine Learning Methods, Inventory Management, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis

    3.5
    Rating, 3.5 out of 5 stars
    82 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    83 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

    Mixed · Course · 1 - 4 Weeks