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

    Emory University

    Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Customer Insights, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    289 reviews

    Intermediate · Course · 1 - 3 Months

  • Coursera Project Network

    Skills you'll gain: Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Business Analysis, Strategic Decision-Making, 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

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Exploratory Data Analysis, Data Visualization, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Microsoft Excel, Machine Learning Methods, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    604 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Coursera Project Network

    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

  • Coursera Project Network

    Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Deep Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Python Programming, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    68 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    LearnQuest

    Skills you'll gain: Exploratory Data Analysis, Teradata SQL, JSON, Data Integration, Advanced Analytics, Data Cleansing, Text Mining, Data Quality, Data Analysis, Statistical Analysis, Application Programming Interface (API), Database Management, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Packt

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    LearnQuest

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

    3.8
    Rating, 3.8 out of 5 stars
    38 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • 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), Data Science, Classification And Regression Tree (CART), MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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