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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

    • U

      University of London

      Graduate Diploma in Computer Science

      Skills you'll gain: Human Computer Interaction, Virtual Reality, Game Design, Full-Stack Web Development, React Native, Agile Software Development, Animations, Data Ethics, Git (Version Control System), Event-Driven Programming, Network Security, Web Applications, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, User Experience Design, Image Analysis, Content Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Cloud Spanner について

      Skills you'll gain: Google Cloud Platform, Database Administration, Database Architecture and Administration, Database Management, Data Migration, Cloud Applications, SQL, Query Languages, Database Design, Systems Administration, Scalability

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Inversiones y Finanzas Aplicadas

      Skills you'll gain: Financial Statement Analysis, Business Valuation, Financial Statements, Descriptive Analytics, FinTech, Business Analytics, Derivatives, Customer Analysis, Cloud Security, Strategic Decision-Making, Portfolio Management, Governance, Risk Analysis, Digital Transformation, Assertiveness, Credit Risk, Object Oriented Programming (OOP), Financial Analysis, Investments, Data Collection

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Illinois at Urbana-Champaign

      Instructional Design MasterTrack® Certificate

      Skills you'll gain: Process Improvement, Supply Chain, Supply Chain Management, Supply Chain Systems, Operations Management, Supply Chain Planning, Change Management, Business Operations, Process Analysis, Statistical Process Controls, Instructional Design, Materials Management, Continuous Improvement Process, Education Software and Technology, Process Capability, Learning Management Systems, Augmented and Virtual Reality (AR/VR), Technology Strategies, Solution Design, System Implementation

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      University of Illinois at Urbana-Champaign

      Graduate Certificate in Taxation

      Skills you'll gain: Data Storytelling, Management Accounting, Fund Accounting, Operations Management, Mergers & Acquisitions, Financial Statement Analysis, Marketing, Risk Management, Machine Learning Algorithms, Business Strategy, Financial Auditing, Descriptive Statistics, Variance Analysis, Process Improvement, Marketing Analytics, Generative AI, Financial Market, Strategic Decision-Making, Corporate Tax, Global Marketing

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • W

      West Virginia University

      Master of Science in Software Engineering

      Skills you'll gain: Unified Modeling Language, Verification And Validation, Threat Modeling, Enterprise Architecture, Security Management, Secure Coding, Scope Management, Application Security, Financial Statements, Proposal Development, Cash Flows, Object Oriented Design, Requirements Analysis, Software Design, Security Requirements Analysis, Database Design, Software Visualization, Object Oriented Programming (OOP), Business Process Management, Mobile Security

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      Master of Science in Cyber Security

      Skills you'll gain: Key Management, Security Management, Human Factors (Security), Infrastructure Security, Information Privacy, Cyber Governance, Cryptography, Application Security, Network Security, Threat Modeling, OSI Models, Security Testing, Computer Security Incident Management, Cyber Security Policies, Intrusion Detection and Prevention, ISO/IEC 27001, Penetration Testing, Malware Protection, Data Collection, Data Analysis

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      透過 Agentspace 加速交流知識

      Skills you'll gain: Google Workspace, Collaborative Software, OAuth, Information Management, Data Management, Data Sharing, Generative AI Agents, Data Access, Productivity Software, Cloud Storage, Content Management Systems, Artificial Intelligence, Application Programming Interface (API), Identity and Access Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 運用生成式 AI 翻新網站

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, Web Analytics and SEO, Image Analysis, Content Management, Large Language Modeling, User Experience Design, Innovation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Cloud Run for AI Inference

      Skills you'll gain: Generative AI, Google Cloud Platform, Serverless Computing, Application Deployment, Cloud Infrastructure, Cloud Applications, Containerization, Machine Learning Methods, Performance Tuning, Scalability

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Gestión de Inversiones

      Skills you'll gain: Financial Statement Analysis, Financial Statements, Portfolio Management, Capital Markets, Risk Management, Income Statement, Financial Market, Financial Analysis, Investments, Financial Modeling, Accounting, Financial Accounting, Accrual Accounting, Balance Sheet, Business Ethics, Cash Flows, Risk Analysis, Finance, Financial Trading, Financial Data

      Credit offered

      Mastertrack · 6 - 12 Months

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

    • Graduate Diploma in Computer Science: University of London
    • Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화: Google Cloud
    • Cloud Spanner について: Google Cloud
    • Magíster en Inversiones y Finanzas Aplicadas: Pontificia Universidad Católica de Chile
    • Instructional Design MasterTrack® Certificate: University of Illinois at Urbana-Champaign
    • Graduate Certificate in Taxation: University of Illinois at Urbana-Champaign
    • Master of Science in Software Engineering: West Virginia University
    • Master of Science in Cyber Security: University of London
    • 透過 Agentspace 加速交流知識: Google Cloud
    • 在 Google Cloud 運用生成式 AI 翻新網站: 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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