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: Preview

    Edureka

    Skills you'll gain: Marketing Effectiveness, Case Studies, Applied Machine Learning, Emerging Technologies, Predictive Modeling, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    LearnQuest

    Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Operations Research, NumPy, Demand Planning, Data Manipulation, Feature Engineering, Supervised Learning, Inventory Management System, Supply Chain, Applied Machine Learning, Machine Learning Methods, Inventory Management, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis

    3.5
    Rating, 3.5 out of 5 stars
    82 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    SkillUp

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Lean Methodologies, Statistical Hypothesis Testing, Process Capability, Statistical Analysis, Data Analysis, Continuous Improvement Process, Project Management, Statistics, Work Breakdown Structure, Lean Six Sigma, Operational Excellence, Process Analysis, Quality Improvement, Data Collection, Process Improvement, Stakeholder Management, Quality Management

    4.3
    Rating, 4.3 out of 5 stars
    25 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Universidad de los Andes

    Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Compilation, Data Visualization, Data Analysis, Data-Driven Decision-Making, Data Science, Pandas (Python Package), Predictive Modeling, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    102 reviews

    Beginner · Course · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview

    University of Michigan

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

    Mixed · Course · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    44 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free

    Coursera Project Network

    Skills you'll gain: AI Personalization, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Prototyping, Text Mining, Pandas (Python Package), Applied Machine Learning, Interactive Data Visualization, Scientific Visualization, Python Programming, Dimensionality Reduction, NumPy

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Data Science, Random Forest Algorithm, Python Programming, Classification And Regression Tree (CART), NumPy, Regression Analysis, Data Analysis, Feature Engineering, Statistical Analysis, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    83 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview

    Northeastern University

    Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Infographics, Tableau Software, Dashboard, Data Analysis, Data-Driven Decision-Making, Data Ethics, Trend Analysis, Business Analytics, Peer Review

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Exploratory Data Analysis, Dimensionality Reduction, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, Computer Vision, Predictive Modeling, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Random Forest Algorithm, Classification And Regression Tree (CART), Natural Language Processing, Python Programming

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    123 reviews

    Intermediate · Specialization · 3 - 6 Months