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

    University of California, Davis

    Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, User Centered Design, Human Factors

    4.4
    Rating, 4.4 out of 5 stars
    2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of California, Davis

    Skills you'll gain: SQL, Data Quality, Complex Problem Solving, Data Visualization, JSON, Business Metrics, Business Reporting, Data Presentation, Forecasting, Data Analysis, Predictive Analytics, Exploratory Data Analysis, Debugging, Data Transformation

    4.5
    Rating, 4.5 out of 5 stars
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Machine Learning, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    3.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Generative AI, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Responsible AI, LLM Application, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    95K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Data Presentation, Data Storytelling, Web Analytics, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Business Intelligence, Data Import/Export

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control

    4.6
    Rating, 4.6 out of 5 stars
    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    SAS

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

    4.8
    Rating, 4.8 out of 5 stars
    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Dashboard, Interactive Data Visualization, Business Analytics, Data-Driven Decision-Making, Data Presentation, Kibana, Data Analysis, Data Visualization Software, Exploratory Data Analysis, Trend Analysis, Retail Sales, Data Import/Export, System Configuration

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    Duke University

    Skills you'll gain: Regression Analysis, R (Software), Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    SAS

    Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Business Analytics, Exploratory Data Analysis, Data Cleansing, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Business Reporting, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    889 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    EDUCBA

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software

    Mixed · Course · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Presentation, Spreadsheet Software, Data Visualization, Graphing, Statistics, Data Science, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    176 reviews

    Beginner · Guided Project · Less Than 2 Hours