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

    Johns Hopkins University

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

  • Skills you'll gain: Data Import/Export, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Machine Learning, Predictive Analytics, Time Series Analysis and Forecasting

  • Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming, Computer Science

  • Status: Free

    Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, HR Tech, Data Science, Advanced Analytics, Scripting Languages, R (Software), Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Cleansing, Data Transformation, Risk Modeling, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks, Jupyter

  • Status: Free Trial

    University of Minnesota

    Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Machine Learning Algorithms, Algorithms

  • 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 Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation

  • Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Literacy, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Science, Data Structures, Computer Programming

  • Status: Free

    Skills you'll gain: Dimensionality Reduction, OpenAI, Application Development, Exploratory Data Analysis, Application Programming Interface (API), Text Mining, Python Programming, Data Analysis, Natural Language Processing, Data Manipulation

  • Status: Free

    Skills you'll gain: Interactive Data Visualization, Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Integration, Heat Maps, Spatial Data Analysis, Data-Driven Decision-Making, Decision Support Systems, Business Intelligence Software, Geospatial Information and Technology, Data Mapping