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

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

    University of Colorado Boulder

    Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Process Capability, Descriptive Statistics, Statistical Analysis, Quantitative Research, Probability & Statistics, Data Analysis, Analysis, R (Software), Exploratory Data Analysis, Systems Of Measurement, Data Quality, R Programming, Regression Analysis, Statistical Methods, Verification And Validation, Continuous Monitoring, Statistical Hypothesis Testing

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Python Programming, Applied Machine Learning, Supervised Learning, Machine Learning

  • Status: Preview

    Universidad Nacional Autónoma de México

    Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Visualization (Computer Graphics), Data Processing, Graphing, Programming Principles, Scripting, Exploratory Data Analysis, Data Structures, Software Installation, Package and Software Management

  • Status: Preview

    Skills you'll gain: Data Storytelling, Dashboard, Business Analytics, Data Quality, Business Intelligence, Data Analysis, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Big Data, Exploratory Data Analysis, Project Management Life Cycle, Job Analysis

  • Status: Free Trial

    Skills you'll gain: Statistical Analysis, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Reporting, Analytical Skills, Technical Communication, Predictive Analytics, Exploratory Data Analysis, Regression Analysis, Microsoft Excel, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, R (Software), Statistical Analysis, Statistical Software, Forecasting, Statistical Modeling, Data Analysis, Predictive Analytics, Exploratory Data Analysis, Statistical Visualization, Data Presentation, Probability & Statistics, Statistical Hypothesis Testing

  • Status: Preview

    Erasmus University Rotterdam

    Skills you'll gain: Analysis, Data Analysis, Statistical Reporting, Analytical Skills, Exploratory Data Analysis, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing, Data Collection

  • Status: New
    Status: Free Trial

    Skills you'll gain: Database Design, Relational Databases, Database Application, Database Systems, Database Management, NoSQL, Databases, Machine Learning Algorithms, SQL, Big Data, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Database Theory, Data Analysis, Exploratory Data Analysis, Transaction Processing, Apache Spark

  • Status: Free Trial

    Skills you'll gain: Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Predictive Analytics, Advanced Analytics, Statistical Analysis, Business Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Exploratory Data Analysis, Pandas (Python Package), Matplotlib

  • Status: Free Trial

    Corporate Finance Institute

    Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Predictive Modeling, Applied Machine Learning, Statistical Modeling, Statistical Analysis, Predictive Analytics

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Supervised Learning, Exploratory Data Analysis, Pandas (Python Package), Matplotlib

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Visualization, Matplotlib, Scientific Visualization, Data Storytelling, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Mapping, Data Import/Export, Python Programming, Object Oriented Programming (OOP)