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

    IBM

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    2.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Box Plots, Data Analysis, Histogram, Unsupervised Learning, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    IBM

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    19K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    Coursera Instructor Network

    Skills you'll gain: Generative AI, Responsible AI, Exploratory Data Analysis, OpenAI, Data-Driven Decision-Making, Artificial Intelligence, Pandas (Python Package), Automation, Data Processing, Data Visualization Software, Descriptive Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Data Storytelling, Business Analytics, Data Visualization Software, Analytical Skills, Exploratory Data Analysis, Data Quality, Data-Driven Decision-Making, Extract, Transform, Load, Data Manipulation, Pandas (Python Package), Data Cleansing, Data Transformation, Jupyter, SQL, Python Programming, Relational Databases, Application Programming Interface (API)

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    51 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Illinois Tech

    Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Science, Regression Analysis, Data Manipulation, Data Mining, Statistical Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Decision Tree Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    6 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Coursera Project Network

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    441 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview

    University of Leeds

    Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Methods, Statistical Modeling, Data Visualization, Statistics, R (Software), Data Analysis, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free

    Coursera Project Network

    Skills you'll gain: Data-Driven Decision-Making, Data Visualization, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Matplotlib, Data Manipulation, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    Microsoft

    Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing

    Beginner · Course · 1 - 3 Months

  • Coursera Project Network

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

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Packt

    Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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