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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
      S

      SkillUp EdTech

      Digital Advertising

      Skills you'll gain: Search Engine Marketing, Google Ads, Digital Advertising, Online Advertising, Advertising Campaigns, Pay Per Click Advertising, Paid media, Advertising, Marketing, Keyword Research, Lead Generation, Social Media Campaigns, Marketing Analytics, LinkedIn, Marketing Strategies, B2B Sales, Facebook, Target Audience, Bidding

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      The Structured Query Language (SQL)

      Skills you'll gain: SQL, Database Management, Query Languages, Relational Databases, Database Design, Database Theory, Data Analysis, Data Access, Data Manipulation, Data Modeling

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Ultimate TypeScript Course 2024 – Learn, Build & Excel

      Skills you'll gain: TypeScript, React.js, Webpack, Angular, Web Development Tools, JavaScript Frameworks, Development Environment, Debugging, Javascript, Vue.JS, Event-Driven Programming, Node.JS, Object Oriented Programming (OOP), Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Hands-on Hacking

      Skills you'll gain: Penetration Testing, Vulnerability Scanning, Vulnerability Assessments, Active Directory, Web Applications, Microsoft Windows, Cybersecurity, Command-Line Interface, Shell Script, Apache Tomcat, Scripting, Microsoft SQL Servers

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      ServiceNow Basics: IT Automation & AI-Powered Workflows

      Skills you'll gain: ServiceNow, IT Automation, Workflow Management, IT Service Management, Digital Transformation, Business Process Automation, Automation, Self Service Technologies, Artificial Intelligence, Service Improvement, Operational Efficiency, Predictive Modeling, Incident Management, Change Management, Performance Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Designing and Documenting APIs with OpenAPI Specification

      Skills you'll gain: ASP.NET, Microsoft SQL Servers, Restful API, C# (Programming Language), Back-End Web Development, Database Development, JSON, SQL, .NET Framework, Web Services, Server Side, Programming Principles, Application Programming Interface (API), API Design, Database Management, Object Oriented Programming (OOP), Extensible Markup Language (XML)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      DevSecOps

      Skills you'll gain: DevSecOps, Application Security, Secure Coding, MLOps (Machine Learning Operations), Security Engineering, Threat Modeling, Security Testing, Software Architecture, Kubernetes, Cloud Security, CI/CD, Microsoft Azure, Web Applications, Docker (Software), Containerization, Infrastructure as Code (IaC), Machine Learning, Version Control, Dependency Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Conflict Resolution & Mediation: Managing Workplace Harmony

      Skills you'll gain: Mediation, Conflict Management, Team Building, Emotional Intelligence, Professionalism, Collaboration, Negotiation, Trustworthiness, De-escalation Techniques, Root Cause Analysis, Communication Strategies, Problem Solving, Active Listening, Adaptability

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Complete Modern C++ (C++11/14/17)

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Development Environment, Computer Programming, Microsoft Visual Studio, Software Design Patterns, Data Structures, System Programming, Algorithms, File Systems, Performance Tuning, Apple Xcode, Debugging, Maintainability, File Management

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      S

      Scrimba

      Command Line (CLI) Basics

      Skills you'll gain: Command-Line Interface, Unix Commands, Linux Commands, Scripting, File Systems, File Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      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

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

      Packt

      Finalizing, Rendering & Advanced Lighting

      Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Animations, Color Theory

      Intermediate · Course · 1 - 3 Months

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

    • Digital Advertising: SkillUp EdTech
    • The Structured Query Language (SQL): University of Colorado Boulder
    • Ultimate TypeScript Course 2024 – Learn, Build & Excel: Packt
    • Hands-on Hacking: Packt
    • ServiceNow Basics: IT Automation & AI-Powered Workflows: Coursera Instructor Network
    • Designing and Documenting APIs with OpenAPI Specification: Board Infinity
    • DevSecOps: Macquarie University
    • Conflict Resolution & Mediation: Managing Workplace Harmony: Coursera Instructor Network
    • Complete Modern C++ (C++11/14/17): Packt
    • Command Line (CLI) Basics: Scrimba

    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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