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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
      G

      Google Cloud

      Google Workspace Troubleshooting

      Skills you'll gain: Google Workspace, Gmail, Technical Support, Email Security, Help Desk Support, Technical Communication, Systems Administration, Debugging, Data Access, Cloud Storage, Security Controls, Event Monitoring, File Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Logging and Monitoring in Google Cloud - 日本語版

      Skills you'll gain: Application Performance Management, Service Level, Cloud Management, Google Cloud Platform, System Monitoring, Real Time Data, Network Monitoring, Event Monitoring, Performance Tuning, Debugging, Operational Databases, Continuous Monitoring, Managed Services, Security Information and Event Management (SIEM), Data Access, Query Languages

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - Indonesia

      Skills you'll gain: Data Ethics, Artificial Intelligence, Business Ethics, Ethical Standards And Conduct, Governance, Data Governance, Regulatory Compliance, Google Cloud Platform, Compliance Management, Accountability, Decision Making, Problem Management, Stakeholder Management

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Unsupervised Learning, Data Mining, Supervised Learning, Service Level, Deep Learning, Machine Learning Algorithms, Statistical Modeling, Applied Machine Learning, Anomaly Detection, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Dimensionality Reduction, Probability, Data Warehousing, Probability & Statistics, Data Pipelines, Performance Testing, Data Science, Bash (Scripting Language)

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      P

      Packt

      Architecting AI Solutions – Scalable GenAI Systems

      Skills you'll gain: Generative AI, Scalability, Cloud Computing Architecture, Large Language Modeling, Systems Architecture, Cloud Applications, Cloud-Native Computing, Site Reliability Engineering, Artificial Intelligence and Machine Learning (AI/ML), Threat Modeling, Security Engineering, Containerization, Load Balancing, Docker (Software), System Monitoring, Disaster Recovery, Information Privacy

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 简体中文

      Skills you'll gain: Data Pipelines, Data Sharing, Data Migration, Google Cloud Platform, Cloud Storage, Metadata Management, Extract, Transform, Load, Data Processing, Apache Airflow, Data Integration, Data Storage, Data Lakes, Automation, Serverless Computing, SQL

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      État civil et statistiques pour la santé des populations

      Skills you'll gain: Public Health, Public Health and Disease Prevention, Health Equity, Health Information Management and Medical Records, Demography, Vital Signs, Health Policy, Maternal Health, Chronic Diseases, Data Quality, Data Collection, Medical History Documentation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      IP Connectivity & IP Services

      Skills you'll gain: Dynamic Host Configuration Protocol (DHCP), Routing Protocols, TCP/IP, Open Shortest Path First (OSPF), Network Routing, Network Routers, Network Protocols, General Networking, Network Infrastructure, Network Administration, Network Troubleshooting, Network Security, System Configuration

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Planning for a Google Workspace Deployment - Español

      Skills you'll gain: Data Migration, User Provisioning, Change Management, Organizational Change, Google Workspace, Email Security, Cloud Computing, System Implementation, End User Training and Support

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      CompTIA A+ Core 2 (220-1102)

      Skills you'll gain: Malware Protection, Microsoft Windows, Network Security, System Configuration, Cybersecurity, Command-Line Interface, Mac OS, Unix, Application Security, Operating Systems, Software Installation, Network Administration, Hardware Troubleshooting, Mobile Security, Technical Support, Change Control, File Systems, Encryption, User Accounts

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      F

      Fundação Instituto de Administração

      Tecnologias emergentes para executivos

      Skills you'll gain: Innovation, Digital Transformation, Technical Management, Technology Strategies, Business Transformation, Business Leadership, Emerging Technologies, Business Technologies, Data Strategy, Business Strategies, Technology Solutions, Blockchain, Risk Management, Internet Of Things, Decision Making, Artificial Intelligence

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Presentation, Data Storytelling, Sampling (Statistics), Prompt Engineering, Presentations, Graphing, Data Ethics, Excel Formulas, Data Analysis, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

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

    • Google Workspace Troubleshooting: Google Cloud
    • Logging and Monitoring in Google Cloud - 日本語版: Google Cloud
    • Responsible AI: Applying AI Principles with GC - Indonesia: Google Cloud
    • Data Science Graduate Certificate: University of Colorado Boulder
    • Architecting AI Solutions – Scalable GenAI Systems: Packt
    • Introduction to Data Engineering on Google Cloud - 简体中文: Google Cloud
    • État civil et statistiques pour la santé des populations: Johns Hopkins University
    • IP Connectivity & IP Services: Packt
    • Planning for a Google Workspace Deployment - Español: Google Cloud
    • CompTIA A+ Core 2 (220-1102): Packt

    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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