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

    Fred Hutchinson Cancer Center

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Laboratory Research, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Scientific Methods, Data Collection, Data Quality, Research, Quantitative Research, Informatics, Biology, Laboratory Techniques, Analysis

    3.8
    Rating, 3.8 out of 5 stars
    31 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, NumPy, Box Plots, Histogram, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Exploratory Data Analysis, Data Ethics, ChatGPT, Feature Engineering, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Image Quality, Responsible AI, Machine Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    10K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis, Applied Mathematics, Statistics, Computer Science

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview

    Northeastern University

    Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Data Science, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Programming Principles, Data Visualization Software, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Data Mining, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: New

    Clemson University

    Skills you'll gain: Data Ethics, Regression Analysis, Data Science, Keras (Neural Network Library), Dimensionality Reduction, Tensorflow, Matplotlib, Data Analysis, Artificial Neural Networks, Data Mining, Data Wrangling, Statistical Analysis, Scikit Learn (Machine Learning Library), Analytics, Data Visualization, Predictive Modeling, Unsupervised Learning, Exploratory Data Analysis, Supervised Learning, Machine Learning Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Ggplot2, Plot (Graphics), Data Visualization Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Scatter Plots, Tidyverse (R Package), R Programming, Box Plots, Histogram, Animations, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    20 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    9 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    Unilever

    Skills you'll gain: Data Governance, Data Storytelling, Presentations, Data Visualization, Supply Chain, Data Management, Supply Chain Management, Data Analysis, Data Visualization Software, Data Quality, Analytical Skills, Data Cleansing, Data Collection, Google Sheets, Spreadsheet Software, Pivot Tables And Charts, Exploratory Data Analysis, Data Validation, Risk Management, Problem Solving

    4.5
    Rating, 4.5 out of 5 stars
    78 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export

    5
    Rating, 5 out of 5 stars
    6 reviews

    Beginner · Course · 1 - 4 Weeks