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: New
    Status: Free Trial

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

  • Status: Free Trial

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Processing, Deep Learning, Data Transformation, Machine Learning, Exploratory Data Analysis

  • Status: Free Trial

    Skills you'll gain: Peer Review, Analytical Skills, Complex Problem Solving, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations

  • Skills you'll gain: Data Manipulation, Data Processing, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Cloud Platform, Google Analytics

  • Skills you'll gain: Looker (Software), Dashboard, Data Manipulation, Data Wrangling, Data Visualization Software, Exploratory Data Analysis, Data Management, Google Cloud Platform, Network Analysis

  • Skills you'll gain: Data Warehousing, Data Integration, Database Administration, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis, Google Analytics

  • Status: Free

    Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

  • Status: Free Trial

    Skills you'll gain: Data Integration, Tableau Software, Geographic Information Systems, Spatial Analysis, Data Manipulation, Data Analysis, Data Visualization Software, Exploratory Data Analysis, Data Transformation, Interactive Data Visualization

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Exploratory Data Analysis, Regression Analysis, Data Processing

  • Status: Free Trial

    Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Molecular Biology, Machine Learning, Data Analysis Software, Exploratory Data Analysis

  • Skills you'll gain: Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Processing, Data Visualization, Data Synthesis, Python Programming

  • Skills you'll gain: Data Ethics, Data Storytelling, Statistical Machine Learning, Data Presentation, Regression Analysis, Statistical Hypothesis Testing, Exploratory Data Analysis, Bayesian Statistics, Statistical Visualization, Data Literacy, Classification And Regression Tree (CART), Network Analysis, Data Visualization, Data Manipulation, Data Analysis, Statistical Methods, Linear Algebra, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)