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: Free Trial

    Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Business Analytics, Exploratory Data Analysis, Data Cleansing, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Business Reporting, Statistical Programming

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, R (Software), Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling

  • Status: Free Trial

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Customer Analysis, Predictive Modeling, Data Processing, Feature Engineering, Predictive Analytics, Exploratory Data Analysis, Data Cleansing, Software Installation

  • Status: New
    Status: Free Trial

    Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment

  • Status: New
    Status: Free Trial

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Data Validation, Data Processing, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Data Integrity, Analysis, Statistical Analysis

  • Status: Preview

    University of Cape Town

    Skills you'll gain: Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Exploratory Data Analysis, Data Manipulation, Data Science, Other Programming Languages, Statistical Hypothesis Testing, Computer Programming, Mathematical Modeling, Package and Software Management

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data-Driven Decision-Making, Minitab, Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Scatter Plots, Correlation Analysis, Data Analysis, Predictive Analytics, Statistical Methods, Descriptive Statistics, Business Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Statistical Modeling, Quantitative Research, Analytics, Case Studies, Exploratory Data Analysis

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Deep Learning, Data Analysis, Statistical Methods, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

  • Status: New
    Status: Free Trial

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, Predictive Modeling, Programming Principles, Data Import/Export, Exploratory Data Analysis, Scripting, Statistical Analysis, Data Analysis, Data Processing, Data Manipulation, Applied Machine Learning, File Management, Mathematical Software

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Statistical Methods, Applied Machine Learning, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Predictive Modeling, Decision Tree Learning

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health