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

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    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: 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: Free Trial

    SAS

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Dimensionality Reduction

    5
    Rating, 5 out of 5 stars
    10 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Pearson

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, Responsible AI, Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    232 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Vanderbilt University

    Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Generative AI, Data Literacy, Statistical Analysis, Data-Driven Decision-Making, Correlation Analysis, Technical Communication, Data Visualization, Probability & Statistics, Data Analysis, Exploratory Data Analysis, Scatter Plots, Descriptive Statistics, Statistical Hypothesis Testing, Predictive Analytics, Data Storytelling, Box Plots, Analytical Skills

    4.3
    Rating, 4.3 out of 5 stars
    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • 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

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    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
    578 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Web Scraping, Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Import/Export, Data Cleansing, R Programming, Data Transformation, Statistical Programming, Exploratory Data Analysis, Data Ethics

    5
    Rating, 5 out of 5 stars
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Pandas (Python Package), NumPy

    Mixed · Course · 1 - 4 Weeks

  • Google Cloud

    Skills you'll gain: Metadata Management, Google Cloud Platform, Big Data, Exploratory Data Analysis, Data Management, Data Access, Cloud API

    Beginner · Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    EDUCBA

    Skills you'll gain: Matplotlib, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Data Processing, Histogram, Data Analysis, Scatter Plots, Exploratory Data Analysis, Pandas (Python Package), Software Installation

    Mixed · Course · 1 - 4 Weeks

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