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: Preview

    University of California, Davis

    Skills you'll gain: Data Quality, Data Cleansing, Computer Vision, Visualization (Computer Graphics), Data Validation, Deep Learning, Image Analysis, Data Manipulation, Exploratory Data Analysis, Applied Machine Learning, Data Analysis

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Tableau Software, Data Ethics, Exploratory Data Analysis, Scatter Plots, Heat Maps, Data Analysis, Descriptive Analytics, Geospatial Information and Technology, Analytical Skills, Application Deployment, Network Analysis, Financial Data, Data Integrity

  • Skills you'll gain: Big Data, Data Cleansing, Exploratory Data Analysis, Google Analytics, Data Integration, Data Manipulation, SQL, Database Administration

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Data Strategy, Unstructured Data, Data-Driven Decision-Making, Solution Design, Data Transformation, Data Quality, Data Analysis, Needs Assessment, Requirements Analysis

  • Status: Free

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

  • Skills you'll gain: Exploratory Data Analysis, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Analysis, Google Analytics, Data Integration

  • Status: Free Trial

    Skills you'll gain: Correlation Analysis, Predictive Modeling, Data Collection, Regression Analysis, Data Science, Forecasting, Data Analysis, Statistical Modeling, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Exploratory Data Analysis

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: Interactive Data Visualization, Tableau Software, Dashboard, Data Storytelling, Data Visualization Software, Peer Review, Data Presentation, Data Integration, Data Visualization, Geographic Information Systems, Spatial Analysis, Business Intelligence, Data Manipulation, Exploratory Data Analysis, Data Transformation, Data Modeling, Data Sharing, Data Analysis, Data Cleansing, Data Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

  • Skills you'll gain: Looker (Software), Interactive Data Visualization, Dashboard, Data Visualization Software, Data Presentation, Exploratory Data Analysis, Data Access, Data Analysis, Analysis, Google Cloud Platform, Data Management

  • Skills you'll gain: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Data Visualization, Interactive Data Visualization, Dashboard, Data Visualization Software, Tableau Software, Data Analysis, Exploratory Data Analysis

  • Status: Preview

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

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