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: New
    Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

  • Status: Free

    Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Tidyverse (R Package), Risk Modeling, Application Deployment, Advanced Analytics, Data Import/Export, Machine Learning Methods, Data Presentation, Interactive Data Visualization, Machine Learning

  • Status: Preview

    Universidade de São Paulo

    Skills you'll gain: Network Analysis, Social Network Analysis, Data Visualization, Scientific Visualization, Graph Theory, Exploratory Data Analysis, Environmental Science, Data Analysis, R Programming, Data Science, Probability Distribution

  • Skills you'll gain: Image Analysis, Data Analysis Software, Data Analysis, Scientific Visualization, Histogram, Analysis, Exploratory Data Analysis, Software Installation

  • Status: Free Trial

    American Psychological Association

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Exploratory Data Analysis, Graphing, Variance Analysis, Statistical Visualization, Data Literacy, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

  • Status: New
    Status: Free Trial

    Case Western Reserve University

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, R (Software), Probability & Statistics, Ggplot2, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

  • 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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

  • Status: Free Trial

    Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Machine Learning Algorithms, Process Management

  • Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning

  • Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scatter Plots, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming