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: Feature Engineering, Exploratory Data Analysis, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Analysis, Google Cloud Platform, Data Pipelines, Applied Machine Learning, Data Quality, Data Cleansing, Machine Learning, Data Science, Data Strategy, Supervised Learning, Performance Tuning, MLOps (Machine Learning Operations), Dataflow, Machine Learning Algorithms, Artificial Neural Networks

  • 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: Preview

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

  • 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

  • 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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Forecasting, Data-Driven Decision-Making, Trend Analysis, Predictive Modeling, Statistical Modeling, Statistical Analysis, Data Visualization, Exploratory Data Analysis, Data Processing, Sales Management, Pandas (Python Package), Jupyter

  • 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

  • Status: New
    Status: Preview

    Skills you'll gain: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability

  • 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

  • Status: New
    Status: Preview

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software