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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
      G

      Google Cloud

      Generative AI Leader

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Google Cloud Platform, Google Workspace, Data Management, Productivity Software, Cloud Solutions, Unstructured Data, Large Language Modeling, Workflow Management, Data Governance, Strategic Thinking, Cloud Infrastructure, Information Privacy, Innovation, Artificial Intelligence, Organizational Strategy, Data Ethics, Technology Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      S

      Starweaver

      Business Process Modeling with AI

      Skills you'll gain: Business Process Modeling, Business Process, Digital Transformation, Business Process Management, Business Process Improvement, Process Design, Business Process Automation, Process Analysis, Business Transformation, Workflow Management, Process Optimization, Quality Improvement, Lean Methodologies, Six Sigma Methodology, Automation, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      Identity Access Management (IAM) and Secure Authentication

      Skills you'll gain: Authentications, Identity and Access Management, User Provisioning, AWS Identity and Access Management (IAM), Multi-Factor Authentication, Single Sign-On (SSO), Security Assertion Markup Language (SAML), Threat Management, OAuth, User Accounts, Authorization (Computing), Azure Active Directory, Key Management, Vulnerability Assessments, Role-Based Access Control (RBAC), Cryptographic Protocols

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Master LangChain with No-Code tools - Flowise and LangFlow

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Automation, Application Development, Application Programming Interface (API), Data Integration, Software Installation

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      International Institute of Information Technology Bangalore

      Introduction to Programming with C Language

      Skills you'll gain: C (Programming Language), Programming Principles, Data Structures, Computer Programming, Algorithms, File Management, Data Storage, Integrated Development Environments, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      TOTAL - CompTIA CySA+ Cybersecurity Analyst (CS0-003)

      Skills you'll gain: Cyber Threat Intelligence, Incident Response, Vulnerability Assessments, Threat Modeling, Cybersecurity, Network Security, Penetration Testing, Security Controls, Threat Detection, Vulnerability Management, Intrusion Detection and Prevention, Application Security, Malware Protection

      Intermediate · Course · 3 - 6 Months

    • 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
      M

      Meta

      Meta Android UI Development

      Skills you'll gain: Android Studio, Android Jetpack, Kotlin, Android Development, Android (Operating System), Responsive Web Design, Mobile Development, UI Components, Unit Testing, Gradle, User Interface (UI) Design, Object Oriented Programming (OOP), User Interface (UI), Application Development, Integrated Development Environments, Development Environment, Programming Principles, Test Driven Development (TDD), Cross Platform Development, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

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

      Packt

      Advanced Object-Oriented & Generic Programming in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Data Structures, Algorithms, File Systems, Debugging, Maintainability

      Intermediate · 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
      S

      Simplilearn

      Lean Management and Six Sigma Green Belt Program

      Skills you'll gain: Lean Manufacturing, Lean Six Sigma, Lean Methodologies, Process Mapping, Statistical Process Controls, Six Sigma Methodology, Kaizen Methodology, Operational Efficiency, Process Improvement, Performance Measurement, Manufacturing Operations, Business Process, Quality Management, Operational Excellence, Statistical Analysis, Performance Metric, Waste Minimization, Kanban Principles, Process Capability, Continuous Improvement Process

      Beginner · Specialization · 1 - 3 Months

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

      Packt

      Advanced Development, Deployment, and Cloud Integration

      Skills you'll gain: ASP.NET, Application Deployment, Microsoft Azure, Cloud Applications, Software Architecture, Scalability, Authentications, User Interface (UI), .NET Framework, Software Design, Maintainability, UI/UX Strategy, Model View Controller, Secure Coding, Application Servers, Microsoft SQL Servers, Database Development, Debugging, Data Validation

      Advanced · Course · 1 - 3 Months

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

    • Generative AI Leader: Google Cloud
    • Business Process Modeling with AI: Starweaver
    • Identity Access Management (IAM) and Secure Authentication: Macquarie University
    • Master LangChain with No-Code tools - Flowise and LangFlow: Packt
    • Introduction to Programming with C Language: International Institute of Information Technology Bangalore
    • TOTAL - CompTIA CySA+ Cybersecurity Analyst (CS0-003): Packt
    • Building Toward Computer Use with Anthropic: DeepLearning.AI
    • Meta Android UI Development: Meta
    • Advanced Object-Oriented & Generic Programming in C++: 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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