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: Looker (Software), Google Cloud Platform, Maintainability, Data Mapping, Exploratory Data Analysis, Data Analysis, Data Management

  • 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

  • Skills you'll gain: Business Analytics, R Programming, Statistical Analysis, Correlation Analysis, Data Analysis, Analysis, Analytics, Exploratory Data Analysis, Unsupervised Learning, Advanced Analytics, Statistical Methods, Data Visualization, Probability & Statistics, Business Analysis, Machine Learning Algorithms, Data Manipulation

  • 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

  • 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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Predictive Modeling, Data Processing, Data Science, Data Manipulation, Exploratory Data Analysis

  • Skills you'll gain: Google Gemini, Exploratory Data Analysis, Google Cloud Platform, Data Wrangling, Interactive Data Visualization, Data Visualization, Generative AI, Debugging, SQL

  • Skills you'll gain: Google Gemini, Big Data, Exploratory Data Analysis, Data Analysis, Data Transformation, Generative AI, Prompt Engineering, SQL, Data Visualization Software

  • Skills you'll gain: Google Gemini, Data Pipelines, Exploratory Data Analysis, Google Cloud Platform, Data Transformation, Data Analysis, Generative AI, Prompt Engineering, SQL, Natural Language Processing

  • Skills you'll gain: Google Gemini, Exploratory Data Analysis, Data Processing, Data Manipulation, Data Analysis Expressions (DAX), Big Data, Google Cloud Platform, Generative AI, Debugging, SQL

  • Status: New

    Skills you'll gain: Jupyter, Google Cloud Platform, MLOps (Machine Learning Operations), Computing Platforms, Machine Learning, Development Environment, Exploratory Data Analysis

  • Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Exploratory Data Analysis, Machine Learning Methods, Machine Learning

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