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: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Forecasting, Data Mining, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Random Forest Algorithm

  • Status: Free Trial

    Skills you'll gain: Data Validation, Regression Analysis, Exploratory Data Analysis, Verification And Validation, Plot (Graphics), Mathematical Modeling, Statistical Methods, Statistical Modeling, Data Transformation, Predictive Modeling, Correlation Analysis, Statistical Analysis, R Programming, Statistical Inference, Linear Algebra

  • Status: New

    Skills you'll gain: Scripting, Matlab, Data Manipulation, Mathematical Modeling, Data Analysis, Programming Principles, Data Visualization, Data Visualization Software, Data Processing, Descriptive Statistics, Interactive Data Visualization, Exploratory Data Analysis, Data Mapping, Data Cleansing, Technical Communication

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Machine Learning Methods, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Predictive Modeling, Data Storage Technologies, Predictive Analytics, Exploratory Data Analysis, Analytics, Business Analytics, Data Storage, Big Data, Risk Analysis, Databases, Business Intelligence, Data Visualization, Data Visualization Software, Data Analysis, Decision Making, Data Cleansing, SQL

  • Status: Preview

    Northeastern University

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Intelligence, Business Strategy, Machine Learning, Data-Driven Decision-Making, Computer Vision, Unstructured Data, Predictive Modeling, Deep Learning, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Plot (Graphics), Matplotlib, Forecasting, Predictive Modeling, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling, Machine Learning, Python Programming

  • Status: Preview

    Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Inference

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Inventory Management System, Inventory Management, Demand Planning, Matplotlib, Inventory Control, Predictive Modeling, Forecasting, Exploratory Data Analysis, Predictive Analytics, Data Visualization, Pandas (Python Package), Data Analysis, Statistical Modeling, Data Wrangling, Data Manipulation, Data Transformation, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Supervised Learning, MLOps (Machine Learning Operations), Data Pipelines, Jupyter, Big Data, Artificial Neural Networks, Dataflow, Responsible AI, Data Transformation, No-Code Development, Applied Machine Learning

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Time Series Analysis and Forecasting, Statistical Modeling, Forecasting, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Predictive Analytics, Correlation Analysis, Statistical Analysis, Data Analysis Software, Statistical Methods, Plot (Graphics), Statistical Hypothesis Testing

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