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 Pennsylvania

    Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

    Beginner · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Statistical Analysis, Data Management

    4.5
    Rating, 4.5 out of 5 stars
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    SAS

    Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Storytelling, Data Analysis, Data Cleansing, Data Manipulation, Scatter Plots, Technical Communication, Histogram

    5
    Rating, 5 out of 5 stars
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Microsoft

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
    317 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Coursera

    Skills you'll gain: Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Analytical Skills, Business Analysis, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies

    4.8
    Rating, 4.8 out of 5 stars
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Corporate Finance Institute

    Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Wrangling, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Data Analysis, Pandas (Python Package), Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis

    Advanced · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Coursera

    Skills you'll gain: Prompt Engineering, Generative AI, Exploratory Data Analysis, OpenAI, ChatGPT, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Sales Strategy, E-Commerce, Data Manipulation, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Coursera

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Coursera

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    CertNexus

    Skills you'll gain: Data Analysis, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Business Analytics, Analytical Skills, Trend Analysis, Data Processing, Data Transformation, Descriptive Statistics, Data Cleansing, Histogram, Scatter Plots

    4.8
    Rating, 4.8 out of 5 stars
    20 reviews

    Intermediate · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning

    Beginner · Guided Project · Less Than 2 Hours