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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
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Drug Safety: Pharmacovigilance

      Skills you'll gain: Patient Safety, Clinical Research, Pharmaceuticals, Pharmacology, Safety Assurance, Drug Interaction, Continuous Monitoring, Epidemiology, Risk Analysis, Big Data

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      Universidad Nacional Autónoma de México

      IA: Ética en la Inteligencia Artificial Educativa

      Skills you'll gain: Law, Regulation, and Compliance, Data Ethics, Risk Management Framework, Artificial Intelligence, Education and Training, Ethical Standards And Conduct, Education Software and Technology, Social Sciences, Information Privacy, Generative AI

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Salesforce Certified AI Specialist Certification

      Skills you'll gain: Prompt Engineering, Salesforce, Data Ethics, Workflow Management, Customer Relationship Management, Generative AI, Artificial Intelligence, Business Process Automation, Predictive Modeling, Data Security, Data Modeling, Automation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Practical Pentesting

      Skills you'll gain: Penetration Testing, Cyber Security Assessment, Vulnerability Assessments, Vulnerability Scanning, Cyber Operations, Data Security, Cybersecurity, Test Tools, User Requirements Documents, Authorization (Computing), Technical Documentation, Computing Platforms, Requirements Analysis, Command-Line Interface, Technical Communication

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      J

      Johns Hopkins University

      One Health Investigations of Outbreaks and Spillover Events

      Skills you'll gain: Microbiology, Epidemiology, Public Health, Infectious Diseases, Investigation, Environment, Environmental Monitoring, Laboratory Testing, Anthropology, Qualitative Research, Risk Analysis, Research Methodologies, Data Collection

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      Bringing Ideas to Life Using AI

      Skills you'll gain: Generative AI, Generative AI Agents, Application Programming Interface (API), Application Development, Amazon Web Services, Data Governance, API Design, Cost Management, Artificial Intelligence, Prompt Engineering, Information Privacy, Product Strategy, Innovation, Compliance Management, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      D

      DeepLearning.AI

      Building Toward Computer Use with Anthropic

      Skills you'll gain: Prompt Engineering, Computer Vision, Human Computer Interaction, Image Analysis, Artificial Intelligence, Generative AI, User Interface (UI), Application Programming Interface (API), Large Language Modeling

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Introduction to Ethical Hacking Principles

      Skills you'll gain: Penetration Testing, Cybersecurity, Data Ethics, Information Systems Security, Cyber Security Policies, General Data Protection Regulation (GDPR), Vulnerability Management, Vulnerability Assessments, Information Privacy, Technical Writing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      JavaScript Fundamentals & The DOM

      Skills you'll gain: Javascript, Event-Driven Programming, Data Structures, Programming Principles, HTML and CSS, Web Design and Development, Web Applications, Web Development Tools, Debugging

      Beginner · Course · 1 - 3 Months

    • 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
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Information Systems Implementation and Business Resilience

      Skills you'll gain: Disaster Recovery, Business Continuity Planning, Database Management, Database Administration, Problem Management, Relational Databases, Incident Management, Service Management, Information Systems, Software Development Methodologies, IT Management, Asset Management, Project Design, Object Oriented Design, Agile Methodology

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      TOTAL - CompTIA Tech+ (FC0-U71)

      Skills you'll gain: Operating Systems, Databases, Software Development, Information Technology, Collaborative Software, Network Troubleshooting, Desktop Support, Network Security, General Networking, Network Administration, Data Storage, Hardware Troubleshooting, Technical Support and Services, System Configuration, Computer Hardware, Application Security, File Management, Computer Security Awareness Training, Software Installation, Peripheral Devices

      Beginner · Course · 3 - 6 Months

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

    • Drug Safety: Pharmacovigilance: Johns Hopkins University
    • IA: Ética en la Inteligencia Artificial Educativa: Universidad Nacional Autónoma de México
    • Salesforce Certified AI Specialist Certification: Packt
    • Practical Pentesting : Packt
    • One Health Investigations of Outbreaks and Spillover Events: Johns Hopkins University
    • Bringing Ideas to Life Using AI: Amazon Web Services
    • Building Toward Computer Use with Anthropic: DeepLearning.AI
    • Introduction to Ethical Hacking Principles: SkillUp EdTech
    • JavaScript Fundamentals & The DOM: Packt
    • 透過 Agentspace 加速交流知識: 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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