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

  • Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

  • Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Presentation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Jupyter, Virtual Environment, Python Programming

  • Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

  • Skills you'll gain: Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Analysis, Machine Learning, Data Import/Export, Data Visualization, Virtual Environment

  • Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming

  • Skills you'll gain: Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL

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    Case Western Reserve University

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Geospatial Information and Technology, Geographic Information Systems, Data Cleansing, Data Analysis, Statistical Modeling, Statistical Analysis, Oil and Gas, Estimation, Simulation and Simulation Software, Data Integration

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    Case Western Reserve University

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations

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    University of Toronto

    Skills you'll gain: Bioinformatics, Network Analysis, Biostatistics, Molecular Biology, Analysis, Biotechnology, Data Visualization Software, Database Software, Data Analysis Software, Health Informatics, Data Analysis, Data Synthesis, Statistical Methods, Data Mining, Medical Science and Research, Exploratory Data Analysis, Technical Communication, Life Sciences, Data Processing, Scientific Visualization

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Google Cloud Platform, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Computing

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    University of Colorado System

    Skills you'll gain: Machine Learning Algorithms, Human Factors (Security), Machine Learning, Applied Machine Learning, Artificial Intelligence, Data Modeling, Supervised Learning, Predictive Modeling, Statistical Modeling, Health Informatics, Diagnostic Tests, Decision Support Systems, Unsupervised Learning, Reinforcement Learning, Data Mining, Exploratory Data Analysis, Descriptive Analytics

  • Skills you'll gain: Data Literacy, Microsoft Excel, Data Visualization Software, Spreadsheet Software, Pivot Tables And Charts, Exploratory Data Analysis, Data Analysis Software, Data Analysis

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