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: Preview

    Skills you'll gain: Data Visualization Software, Tableau Software, Exploratory Data Analysis, Data Presentation, Data Ethics, Graphic and Visual Design, Design Elements And Principles, Target Audience, Aesthetics

  • Skills you'll gain: Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data Transformation, Data Quality, Data Analysis, Data Visualization, Google Cloud Platform, Data Management

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Development Environment

  • Status: New
    Status: Free Trial

    Skills you'll gain: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Shiny (R Package), Data Cleansing, Data Visualization, Data Wrangling, Software Documentation, R Programming, Microsoft Copilot

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Predictive Analytics, Supervised Learning, Data Cleansing, Plot (Graphics), Matplotlib, Regression Analysis, Unsupervised Learning, Dimensionality Reduction, Statistical Machine Learning, Descriptive Analytics, Predictive Modeling, Visualization (Computer Graphics), Data Analysis, Applied Machine Learning, Exploratory Data Analysis, Data Science, Pandas (Python Package), Data-Driven Decision-Making, Time Series Analysis and Forecasting, Data Visualization Software

  • Skills you'll gain: Social Network Analysis, Systems Thinking, Unsupervised Learning, Data Storytelling, Reinforcement Learning, Marketing Analytics, Deep Learning, Computer Vision, Predictive Modeling, Project Management Life Cycle, Time Series Analysis and Forecasting, Strategic Decision-Making, MLOps (Machine Learning Operations), Financial Statement Analysis, Simulations, Exploratory Data Analysis, Dashboard, Statistical Analysis, Random Forest Algorithm, Operations Research

  • Skills you'll gain: Looker (Software), Dashboard, Data Analysis Expressions (DAX), Ad Hoc Analysis, Data Analysis, Exploratory Data Analysis, Data Visualization Software

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Quantitative Research, Marketing Analytics, Market Analysis, Market Research, Exploratory Data Analysis, Strategic Marketing, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Customer Analysis, Statistical Modeling, Statistical Analysis, Correlation Analysis, Regression Analysis, Unsupervised Learning, Variance Analysis

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Data Modeling, Analytics, Data Analysis, Feature Engineering, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Exploratory Data Analysis

  • Status: Preview

    Skills you'll gain: Environmental Monitoring, Environmental Regulations, Environment, Taxonomy, Environmental Science, Spatial Data Analysis, Estimation, Research, Scientific Visualization, Data Literacy, Exploratory Data Analysis, Biology, Data Visualization, Research Methodologies, Physics

  • Status: Preview

    Tecnológico de Monterrey

    Skills you'll gain: Pandas (Python Package), Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Analysis, Data Transformation, Python Programming, Data Structures, Data Import/Export, Software Installation

  • Status: New

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, Predictive Modeling, Data Pipelines, Data Processing