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    • Exploratory Data Analysis

    Exploratory Data Analysis Courses Online

    Learn exploratory data analysis (EDA) for uncovering patterns and insights. Understand data visualization, summary statistics, and hypothesis testing.

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    Explore the Exploratory Data Analysis Course Catalog

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 한국어

      Skills you'll gain: Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Tensorflow, Open Source Technology, Machine Learning, Applied Machine Learning, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - 日本語版

      Skills you'll gain: Customer Relationship Management, Google Cloud Platform, Generative AI, Big Data, Predictive Modeling, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), SQL, Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Українська

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Generative AI, Data Security, Security Controls, Open Source Technology, Safety and Security, Artificial Intelligence, Machine Learning Methods

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 日本語版

      Skills you'll gain: Information Privacy, Google Cloud Platform, Data Security, Secure Coding, Personally Identifiable Information, Generative AI, Cloud Security, Artificial Intelligence, Threat Modeling, Data Loss Prevention, Safety and Security, Data Governance, Security Controls, Encryption, Key Management, Identity and Access Management

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Fundamentals - Português Brasileiro

      Skills you'll gain: Network Monitoring, Google Cloud Platform, General Networking, Network Troubleshooting, Virtual Private Networks (VPN), Network Architecture, Network Performance Management, Cloud Infrastructure, System Monitoring, Virtual Machines, Network Analysis, Service Level, System Configuration

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık

      Skills you'll gain: Data Ethics, Testability, Maintainability, Artificial Intelligence, Data Visualization Software, Applied Machine Learning, Machine Learning, Software Documentation

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Deutsch

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, Machine Learning, Information Privacy, Data Quality, Data Validation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Français

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Machine Learning, Machine Learning Methods, Data Quality, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Ethical Hacking Foundations & Network Security

      Skills you'll gain: Penetration Testing, Cybersecurity, Network Security, Linux, Vulnerability Scanning, Vulnerability Assessments, Command-Line Interface, Wireless Networks, Linux Commands, System Configuration, Virtual Private Networks (VPN), Network Analysis, Encryption, Software Installation, File Management, Virtual Machines

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Processing, Data Cleansing, Data Transformation, Scalability, Feature Engineering, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 한국어

      Skills you'll gain: Information Privacy, Data Ethics, Personally Identifiable Information, Google Cloud Platform, Secure Coding, Cloud Security, Data Security, Safety and Security, Artificial Intelligence, Generative AI, Machine Learning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Machine Learning in the Enterprise - Italiano

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Machine Learning, Data Pipelines, Predictive Modeling, Applied Machine Learning, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular exploratory data analysis courses

    • Responsible AI for Developers: Fairness & Bias - 한국어: Google Cloud
    • Work with Gemini Models in BigQuery - 日本語版: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Українська: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - 日本語版: Google Cloud
    • Networking in Google Cloud: Fundamentals - Português Brasileiro: Google Cloud
    • Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Deutsch: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Français: Google Cloud
    • Ethical Hacking Foundations & Network Security: Packt
    • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Exploratory Data Analysis

    Exploratory data analysis (EDA) is an approach to data analysis used to investigate sets of data, summarize their characteristics, and figure out how to best work with data to get answers while providing a visual to help businesses, scientists, researchers, and analysts learn more from that data. Exploratory data analysis makes it easier to find patterns and anomalies in data, and it can be used to determine what the data reveals beyond modeling. It's useful as a step in creating sophisticated data models and analysis. EDA tools include clustering/dimension reduction techniques to create graphs, K-means clustering, and predictive modeling, including linear regression. There are four main types of exploratory data analysis, including univariate non-graphical, univariate graphical, multivariate nongraphical, and multivariate graphical. All of these types describe the data, but graphical exploratory data analysis provides a more complete picture created by the data.‎

    If you're passionate about working with numbers and transforming them to tell a story that influences others, learning about exploratory data analysis can help you forge a career based on that passion. It's a solid start to jobs in data science, but you'll also gain a variety of related skills, including coding using Python and R, data cleansing, and predictive modeling. Beyond starting a new career or advancing your existing one, there are benefits for anyone who chooses to learn about exploratory data analysis, including solid problem-solving skills, the ability to find connections between data and real-world problems, and gaining useful tools to guide major decisions ranging from getting the most out of marketing campaigns to maximizing project executions to hiring key players for organizations.‎

    If you're looking for a career in transforming large volumes of data into actionable advice and solutions, a career in exploratory data analytics could be your ideal path, particularly if you're passionate about using data to evaluate whether the statistical methods you intend to use for analyzing that data are the most effective options. This fast-growing field is in-demand, with skilled, knowledgeable exploratory data analysts among the most highly sought professionals across multiple industries. Exploratory data analysis is somewhat like solving puzzles, piecing data-driven insights together to help employers and clients make well-informed business decisions based on sound data that's been evaluated for assumptions, errors, and trends. You might work on Wall Street for a hedge fund or investment bank. You could work in healthcare, insurance, retail, or marketing, among other industries.‎

    Online courses on Coursera give you the opportunity to do everything from gaining experience in fundamentals to earning professional certification. If you're new to the field, beginner courses like Exploratory Data Analysis with MATLAB can help you build a foundation in data analysis and data visualization. If you're looking to advance your skills, you might explore your options to gain professional certification through IBM's IBM Data Analyst offering. Or you could opt for a specialization, like the Data Science option from Johns Hopkins, which combines courses and applied learning to help you build firsthand knowledge and skills that you'll be able to apply in business settings.‎

    Online Exploratory Data Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Exploratory Data Analysis skills. Choose from a wide range of Exploratory Data Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Exploratory Data Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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