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

    Skills you'll gain: Prompt Engineering, Data Analysis, Generative AI, OpenAI, Exploratory Data Analysis, Data Manipulation, LLM Application, Artificial Intelligence, Python Programming

  • Skills you'll gain: Time Series Analysis and Forecasting, Data Visualization, Data Visualization Software, Statistical Visualization, Box Plots, Anomaly Detection, Heat Maps, Data Analysis, Plotly, Exploratory Data Analysis, Data Processing, Python Programming

  • Status: Free Trial

    Skills you'll gain: Matplotlib, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Python Programming, File Management, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Computer Programming

  • Skills you'll gain: Fraud detection, Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Application Deployment, Jupyter, Data Analysis, System Monitoring, Data Warehousing, Machine Learning

  • Status: Free Trial

    Tableau Learning Partner

    Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Data Presentation, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Literacy, Data Visualization, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Extract, Transform, Load, Stakeholder Analysis, Data Analysis, Spatial Data Analysis, Data Quality, Data Management

  • Status: Free Trial

    Skills you'll gain: SQL, Generative AI, Data Visualization, Interactive Data Visualization, Database Management, Data Capture, Data Analysis, Debugging, Exploratory Data Analysis, ChatGPT, Prompt Engineering, Databases, Data Quality

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Storytelling, Data Presentation, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning

  • Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Python Programming

  • Skills you'll gain: Data Import/Export, Data Analysis, Exploratory Data Analysis, Java, Data Processing, Data Manipulation, Java Programming, Statistics

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Regression Analysis, Supervised Learning, Statistical Analysis, Data Analysis, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Feature Engineering, Exploratory Data Analysis, Verification And Validation

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Applied Machine Learning, Machine Learning Methods, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Data Analysis

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Data Manipulation, Algorithms