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

  • Coursera Project Network

    Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Google Cloud

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Data Strategy, Artificial Neural Networks, Data Pipelines, Performance Tuning, Deep Learning, Data Transformation, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Coursera Project Network

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Coursera Project Network

    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

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free

    Coursera Project Network

    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

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Packt

    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

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview

    IBM

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Packt

    Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free

    Coursera Project Network

    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

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview

    University of California, Irvine

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Data Ethics, Data Analysis, Advanced Analytics

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Analysis, Data Analysis Software, Statistical Methods, Plot (Graphics), Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks