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: Free Trial

    Johns Hopkins University

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Database Theory, Exploratory Data Analysis, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytics, Sociology, Natural Language Processing, Data Manipulation, Text Mining, Statistical Modeling

  • Status: Preview

    Coursera Instructor Network

    Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Responsible AI, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Exploratory Data Analysis, Project Implementation

  • Status: Preview

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

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Algorithms, Linear Algebra, Exploratory Data Analysis, NumPy, Statistical Analysis

  • Status: Preview

    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

  • Status: Free Trial

    Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Exploratory Data Analysis, Descriptive Statistics, Data Validation, Debugging

  • Status: Free

    Skills you'll gain: AI Personalization, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Prototyping, Text Mining, Pandas (Python Package), Applied Machine Learning, Interactive Data Visualization, Scientific Visualization, Python Programming, Dimensionality Reduction, NumPy

  • Status: Preview

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

  • Status: Free Trial

    Universidad de los Andes

    Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data-Driven Decision-Making, Data Science, Pandas (Python Package), Predictive Modeling, Python Programming

  • Status: Free Trial

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

  • 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

  • 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