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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
      P

      Packt

      The Docker Masterclass for Beginners

      Skills you'll gain: Docker (Software), CI/CD, Containerization, Development Environment, Continuous Deployment, Continuous Integration, Devops Tools, DevOps, Application Deployment, Linux, Software Development Tools, Linux Commands, Microsoft Development Tools, Command-Line Interface

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      YouTube Planning: Manage Content Like a Pro

      Skills you'll gain: Content Strategy, Content Performance Analysis, Target Audience, Production Planning, Scheduling, Project Planning, Content Management, Content Creation, Organizational Skills, Information Architecture, Marketing Channel

      Beginner · Course · 1 - 4 Weeks

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

      SAP

      Requirements Gathering and Documentation

      Skills you'll gain: User Story, Requirements Elicitation, Requirements Management, Business Requirements, User Requirements Documents, Requirements Analysis, Verification And Validation, SAP Applications, Functional Specification, User Acceptance Testing (UAT), Stakeholder Engagement, Process Mapping

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Product Design and UX/UI Fundamentals

      Skills you'll gain: User Story, Usability, Design Thinking, User Interface (UI) Design, User Experience Design, Mockups, Wireframing, Usability Testing, Human Centered Design, Figma (Design Software), Artificial Intelligence, Prototyping, User Research, Data Ethics

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Blender Lighting & Compositing for Beginners

      Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Virtual Environment

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      Validate & Elevate: Usability Testing in Sketch

      Skills you'll gain: Usability Testing, Software Design Documents, User Experience Design, User Centered Design, UI/UX Research, Prototyping, Test Planning, Design Software

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Program Managers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Program Management, Generative AI Agents, Risk Management, OpenAI, Project Management Institute (PMI) Methodology, Strategic Decision-Making, Business Risk Management, Project Management Life Cycle, Stakeholder Management, Project Management, Organizational Strategy, Large Language Modeling, Business Ethics, Stakeholder Communications, Artificial Intelligence, Program Development, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      C

      Coursera

      YouTube Live: Streaming Engagement

      Skills you'll gain: Live Streaming, Customer Engagement, Content Performance Analysis, Content Development and Management, Content Strategy, Customer Relationship Building, Discussion Facilitation, Community Development, Technical Support

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Advanced UX Strategies for Product Managers

      Skills you'll gain: UI/UX Strategy, User Experience, User Experience Design, Design and Product, Data Storytelling, Experience Design, User Centered Design, Usability Testing, Product Improvement, User Research, Human Centered Design, Design Research, Figma (Design Software), User Feedback, Wireframing, Customer experience improvement, Prioritization

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      PowerShell Skills

      Skills you'll gain: Windows PowerShell, Scripting, IT Automation, Command-Line Interface, System Configuration, File Management, Software Installation, Development Environment, Configuration Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Instagram Insights: Crack the Algorithm

      Skills you'll gain: Instagram, Social Media Content, Content Creation, Content Performance Analysis, Content Marketing, Social Media, Drive Engagement, Content Strategy, Social Media Strategy, Digital Media Strategy, Customer Engagement

      Beginner · Course · 1 - 4 Weeks

    • C

      Clemson University

      Master of Science in Computer Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

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

    • The Docker Masterclass for Beginners: Packt
    • YouTube Planning: Manage Content Like a Pro: Coursera
    • Requirements Gathering and Documentation: SAP
    • Product Design and UX/UI Fundamentals: Microsoft
    • Blender Lighting & Compositing for Beginners : Packt
    • Validate & Elevate: Usability Testing in Sketch: Coursera
    • Generative AI for Program Managers: IBM
    • YouTube Live: Streaming Engagement: Coursera
    • Advanced UX Strategies for Product Managers: Coursera Instructor Network
    • PowerShell Skills: 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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