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.
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Explore the Exploratory Data Analysis Course Catalog

  • Status: New

    Google Cloud

    Skills you'll gain: Jupyter, Google Cloud Platform, MLOps (Machine Learning Operations), Computing Platforms, Machine Learning, Development Environment, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Google Gemini, Data Processing, Exploratory Data Analysis, Big Data, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, Prompt Engineering, Debugging, SQL

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Google Gemini, Exploratory Data Analysis, Data Processing, Data Manipulation, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, Prompt Engineering, SQL

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Google Gemini, Exploratory Data Analysis, Prompt Engineering, Generative AI, Data Visualization Software, Google Cloud Platform, Data Cleansing, Data Processing, Data Transformation, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Exploratory Data Analysis, Machine Learning Methods, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Google Gemini, Exploratory Data Analysis, Data Processing, Data Pipelines, Data Manipulation, Big Data, Google Cloud Platform, Data Visualization Software, Generative AI Agents, SQL, Debugging

    Beginner · Course · 1 - 4 Weeks

  • Status: New

    Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Jupyter, Google Cloud Platform, Machine Learning, Virtual Machines, Development Environment, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • University of North Texas

    Skills you'll gain: Operations Management, Exploratory Data Analysis, Mediation, Change Management, Business Writing, Compensation and Benefits, Apache Hadoop, Consumer Behaviour, Organizational Change, Stakeholder Management, Event Management, Grammar, Social Media Strategy, Business Ethics, Sales Process, Diversity Awareness, Conflict Management, Research, Nutrition and Diet, Data Mining

    Earn a degree

    Degree · 1 - 4 Years

  • University of California, Berkeley

    Skills you'll gain: User Research, Stakeholder Analysis, Materials science, Exploratory Data Analysis, Design Research, Java Programming, Semiconductors, Matplotlib, Pandas (Python Package), Medical Devices, Finite Element Methods, Team Leadership, Energy and Utilities, Control Systems, Environmental Engineering, Radiation Protection, Structural Engineering, Vibrations, Linear Algebra, Engineering Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • Northeastern University

    Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability

    Earn a degree

    Degree · 1 - 4 Years

  • University of London

    Skills you'll gain: Relational Databases, Databases, Descriptive Statistics, Object Oriented Programming (OOP), Simulations, Statistical Inference, Data Literacy, Data Visualization Software, Data Visualization, Statistical Hypothesis Testing, Exploratory Data Analysis, Probability Distribution, SQL, Tableau Software, Data Storytelling, Algebra, Computational Logic, Calculus, Trigonometry, Logical Reasoning

    Earn a degree

    Degree · 1 - 4 Years