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: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Data Manipulation, Jupyter, Feature Engineering, Machine Learning, Data Visualization, Python Programming

  • Coursera Project Network

    Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Data Manipulation, Pandas (Python Package), Machine Learning Methods, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, R (Software), Probability & Statistics, Descriptive Statistics, Data Analysis, Correlation Analysis, Data Validation, Simulations, Histogram, Box Plots, Simulation and Simulation Software

  • 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

  • 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: 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: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Jupyter, Artificial Neural Networks, Data Processing, Performance Tuning, Data Transformation

  • 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: 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

  • 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: 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

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