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: Social Network Analysis, Systems Thinking, Unsupervised Learning, Data Storytelling, Reinforcement Learning, Marketing Analytics, Deep Learning, Computer Vision, Predictive Modeling, Project Management Life Cycle, Time Series Analysis and Forecasting, Strategic Decision-Making, MLOps (Machine Learning Operations), Financial Statement Analysis, Simulations, Exploratory Data Analysis, Dashboard, Statistical Analysis, Random Forest Algorithm, Operations Research

  • Status: Preview

    Skills you'll gain: Environmental Monitoring, Environmental Regulations, Environment, Taxonomy, Environmental Science, Spatial Data Analysis, Estimation, Research, Scientific Visualization, Data Literacy, Exploratory Data Analysis, Biology, Data Visualization, Research Methodologies, Physics

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Data Modeling, Analytics, Data Analysis, Feature Engineering, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Exploratory Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram

  • Status: Preview

    Fundação Instituto de Administração

    Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Big Data, Data Mining, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Marketing, Unsupervised Learning, Machine Learning Algorithms, Business Strategy, Statistical Modeling, Consumer Behaviour, Data Visualization

  • Status: New
    Status: Preview

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Data Import/Export, Data Processing, Applied Machine Learning, Artificial Intelligence, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Processing, Scalability, Data Manipulation, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Python Programming, Machine Learning Algorithms, NumPy, Statistical Methods, Exploratory Data Analysis

  • Skills you'll gain: Looker (Software), Google Cloud Platform, Maintainability, Data Mapping, Exploratory Data Analysis, Data Analysis, Data Management

  • Skills you'll gain: Looker (Software), Dashboard, Interactive Data Visualization, Data Visualization, Exploratory Data Analysis, Google Cloud Platform, Data Analysis, Cloud Computing

  • Status: Free Trial

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks

  • Status: Free Trial

    University of Minnesota

    Skills you'll gain: Predictive Analytics, Simulations, Exploratory Data Analysis, Experimentation, Research Design, Business Analytics, Operations Research, Project Design, Customer Analysis, A/B Testing, Data Mining, Business Analysis, Analytical Skills, Ideation, Advanced Analytics, Applied Machine Learning, Design Thinking, Process Mapping, Problem Solving, Critical Thinking

  • Status: Free

    Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Data Transformation, Cloud Development, Exploratory Data Analysis, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts

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