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

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles

  • Status: Free Trial

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

  • 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

  • Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

  • Status: Free Trial

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

  • 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: Free Trial

    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

  • Status: Free

    Skills you'll gain: Feature Engineering, Predictive Modeling, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization, Machine Learning

  • Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Analysis, Exploratory Data Analysis, Analytics, Statistical Analysis, Social Sciences, Behavioral Economics, Research, Data Collection, Sociology, Data Transformation, Persuasive Communication, Application Programming Interface (API), Media and Communications, Substance Abuse, Psychology

  • Skills you'll gain: Datamaps, Interactive Data Visualization, Heat Maps, Data Visualization, Data Visualization Software, Statistical Visualization, Data Presentation, Data Storytelling, Data Wrangling, Data Access, Correlation Analysis, Scatter Plots, Exploratory Data Analysis, Data Science, Data Analysis, Python Programming

  • Status: Free Trial

    Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management