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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

    • Status: New
      New
      P

      Packt

      Beginning Security

      Skills you'll gain: Open Web Application Security Project (OWASP), Secure Coding, Application Security, Data Security, Cyber Attacks, Cybersecurity, Computer Security Awareness Training, Security Engineering, Web Applications, Threat Modeling, Risk Management Framework, Cryptography, Vulnerability Management, Encryption, Threat Detection, Authentications, Authorization (Computing), PHP (Scripting Language)

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      Unreal Engine 5 - Make AAA Game Vehicles

      Skills you'll gain: Unreal Engine, Video Game Development, Game Design, Virtual Environment, Performance Tuning, Animations, Data Import/Export, UI Components

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Developing RAG Apps with LlamaIndex and JS

      Skills you'll gain: Full-Stack Web Development, JavaScript Frameworks, Node.JS, Application Development, Data Maintenance, Restful API, Web Applications, Development Environment, Large Language Modeling, OpenAI, Generative AI, API Design, Application Deployment, Data Storage, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Gen AI: Unlock Foundational Concepts

      Skills you'll gain: Generative AI, Data Management, Google Cloud Platform, Unstructured Data, Large Language Modeling, Data-Driven Decision-Making, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Business Logic, Artificial Intelligence, Deep Learning, Machine Learning, Innovation, Data Security

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Production Machine Learning Systems - Français

      Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Systems Architecture, Google Cloud Platform, Deep Learning, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced Terraform - Variables, Modules, & State Management

      Skills you'll gain: AWS Identity and Access Management (IAM), Terraform, Amazon Web Services, Infrastructure as Code (IaC), Data Validation, Amazon Elastic Compute Cloud, Configuration Management, Testability, GitHub, Maintainability, Data Security

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Maryland, College Park

      New Map for Product Managers: Rulesets for Global Business

      Skills you'll gain: Global Marketing, International Relations, International Finance, Cultural Sensitivity, Business Risk Management, Market Dynamics, Economics, Business Strategy, Political Sciences, Supply Chain Management, Market Analysis, Brand Management

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Product Design and UX/UI Fundamentals

      Skills you'll gain: User Story, User Interface (UI) Design, User Experience Design, Design Thinking, Usability Testing, Mockups, Wireframing, User Centered Design, User Flows, Prototyping, Artificial Intelligence, User Research, Data Ethics

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Java Fundamentals - Getting Started with Java

      Skills you'll gain: Java, Object Oriented Programming (OOP), Software Development Life Cycle, Program Development, Development Environment, Computer Programming, Software Development, Integrated Development Environments, Linux, Command-Line Interface

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Product Strategy and Roadmapping

      Skills you'll gain: Product Roadmaps, Product Strategy, User Story, Agile Product Development, Product Management, Stakeholder Management, Product Requirements, New Product Development, Product Lifecycle Management, Product Development, User Requirements Documents, Project Management, Innovation, Technology Strategies, Change Management, Cloud Platforms, Market Research, Prioritization

      Beginner · Course · 1 - 3 Months

    • L

      LearnQuest

      Advanced Applications of CDO in Enterprise Security Admin

      Skills you'll gain: Systems Integration, Enterprise Application Management, Data Governance, Security Strategy, Cloud Management, Network Troubleshooting, Enterprise Security, Security Management, Security Controls, Threat Modeling, Continuous Monitoring, Cyber Security Strategy

      Advanced · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft R Programming for Everyone

      Skills you'll gain:

      Beginner · Professional Certificate · 1 - 3 Months

    Exploratory Data Analysis learners also search

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

    • Beginning Security: Packt
    • Unreal Engine 5 - Make AAA Game Vehicles: Packt
    • Developing RAG Apps with LlamaIndex and JS: Packt
    • Gen AI: Unlock Foundational Concepts: Google Cloud
    • Production Machine Learning Systems - Français: Google Cloud
    • Advanced Terraform - Variables, Modules, & State Management: Packt
    • New Map for Product Managers: Rulesets for Global Business: University of Maryland, College Park
    • Product Design and UX/UI Fundamentals: Microsoft
    • Java Fundamentals - Getting Started with Java: Packt
    • Product Strategy and Roadmapping: Microsoft

    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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