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

    Arizona State University

    Skills you'll gain: Data Transformation, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Storytelling, Data Integration, Capacity Management, Data Analysis, Data Warehousing, Data Strategy, Data Management, Data Lakes, Unstructured Data, Business Intelligence, Data Governance, Data Access, Data Literacy, Solution Design, Data Quality

    Beginner · Specialization · 3 - 6 Months

  • Status: Free

    Coursera Project Network

    Skills you'll gain: Power BI, Interactive Data Visualization, Data Visualization, Data Presentation, Dashboard, Trend Analysis, Exploratory Data Analysis, Customer Analysis, Data Visualization Software, Sales, Business Intelligence, Data Analysis, Business Analytics, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    36 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Google Cloud

    Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Data Lakes, Data Integration, Data Transformation, Exploratory Data Analysis, Cloud Management, Data Management, DevOps

    Advanced · Project · Less Than 2 Hours

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    LearnQuest

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration

    Intermediate · Course · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview

    IIT Roorkee

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Processing, Pandas (Python Package), Big Data, Data Cleansing, Data Science, Data Visualization, Python Programming, Data Manipulation, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Capture, Data Pipelines, Data Integration, Personally Identifiable Information, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming

    5
    Rating, 5 out of 5 stars
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    Status: Free Trial

    Pearson

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Descriptive Statistics, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Forecasting, Database Application, Integrated Development Environments, Computer Networking, Python Programming

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    583 reviews

    Beginner · Course · 1 - 3 Months