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

    Universidad Nacional Autónoma de México

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Data Analysis, Data Science, Python Programming, Software Installation, Data Manipulation, Scripting, Package and Software Management, Development Environment

  • Status: Free Trial

    American Psychological Association

    Skills you'll gain: Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistical Software, Statistics, Data Management, Research, Psychology

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Statistical Modeling, Design Thinking

  • Status: Preview

    Johns Hopkins University

    Skills you'll gain: Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Data Management, Analytical Skills, Statistical Inference, Team Management, Statistical Modeling, Strategic Decision-Making, Data Presentation, Statistics, Communication

  • Status: Free

    Skills you'll gain: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, Database Design, SQL, Analytical Skills, Data Presentation, Technical Communication, Relational Databases

  • Status: New
    Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation

  • Status: Free Trial

    Queen Mary University of London

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Data Quality, Statistical Methods, Data Cleansing, Digital Marketing, Exploratory Data Analysis, Market Research, Return On Investment

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Presentation, Data Management, Management Training And Development, Team Management, Workflow Management, Analytical Skills, Team Leadership, Statistical Inference, Statistical Modeling, Statistical Methods, Communication

  • Status: Free Trial

    Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection, GitHub

  • Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Statistical Analysis, Data Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

  • Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming

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