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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: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Modeling Risk and Realities

      Skills you'll gain: Risk Modeling, Probability Distribution, Mathematical Modeling, Statistical Modeling, Risk Management, Data Visualization, Predictive Modeling, Data Modeling, Probability & Statistics, Risk Analysis, Simulation and Simulation Software, Forecasting, Data-Driven Decision-Making, Business Analysis, Process Optimization, Microsoft Excel

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Inglés Empresarial

      Skills you'll gain: Business Ethics, Sales Presentations, Meeting Facilitation, Graphic Design, English Language, Brainstorming, Negotiation, Purchasing, Verbal Communication Skills, Business Writing, Presentations, Product Planning, Telephone Skills, Communication, Marketing Materials, Business Communication, Business Planning, Employee Coaching, Financial Analysis, New Product Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Modernizing Data Lakes and Data Warehouses with Google Cloud

      Skills you'll gain: Data Lakes, Data Warehousing, Cloud Engineering, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Data Processing, Data Transformation, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      High Performance Collaboration: Leadership, Teamwork, and Negotiation

      Skills you'll gain: Leadership, Negotiation, Organizational Leadership, Teamwork, Leadership Development, Leadership and Management, Team Management, Team Building, Collaboration, Professional Development, Employee Coaching, Personal Development, Emotional Intelligence, Decision Making, Goal Setting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Writing and Editing: Word Choice and Word Order

      Skills you'll gain: Writing, Storytelling, Editing, Detail Oriented, Communication, Resourcefulness, Decision Making, Creativity, Professionalism

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Zurich

      An Intuitive Introduction to Probability

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Finance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Healthcare IT Support

      Skills you'll gain: Medical Privacy, Electronic Medical Record, Telehealth, Patient Safety, Health Technology, Health Information Management, Medical Equipment and Technology, Security Awareness, Cloud Security, Personally Identifiable Information, Encryption, Help Desk Support, Desktop Support, End User Training and Support, Health Care, Technical Support and Services, Decision Support Systems, Health Care Procedure and Regulation, Clinical Data Management, Patient Education and Support

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Building Scalable Java Microservices with Spring Boot and Spring Cloud

      Skills you'll gain: Microservices, Application Deployment, Google Cloud Platform, Cloud Applications, Spring Boot, Kubernetes, Java, Software Architecture, Data Migration, Cloud Services, Application Performance Management, Application Programming Interface (API), Databases

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      A Crash Course in Causality: Inferring Causal Effects from Observational Data

      Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Statistical Software, Statistical Modeling, Statistical Inference, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      564 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      National Taiwan University

      BIM Fundamentals for Engineers

      Skills you'll gain: Building Information Modeling, Engineering Documentation, Data Modeling, 3D Modeling, Computer-Aided Design, Construction, Information Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Healthcare Marketplace

      Skills you'll gain: Competitive Analysis, Payment Systems, Intellectual Property, Health Systems, Healthcare Industry Knowledge, Commercialization, Pharmaceuticals, Leadership Development, Health Care Administration, Product Management, Medical Management, Go To Market Strategy, Regulatory Affairs, Medical Equipment and Technology, Organizational Structure, Market Opportunities, Health Care, Market Analysis, Cost Benefit Analysis, Health Care Procedure and Regulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Creative Designing in Power BI

      Skills you'll gain: Data Storytelling, Power BI, Data Presentation, Dashboard, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Creative Design, Data Security, Real Time Data, Geospatial Mapping

      4.5
      Rating, 4.5 out of 5 stars
      ·
      287 reviews

      Beginner · Course · 1 - 4 Weeks

    Exploratory Data Analysis learners also search

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

    • Modeling Risk and Realities: University of Pennsylvania
    • Inglés Empresarial: Arizona State University
    • Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud
    • High Performance Collaboration: Leadership, Teamwork, and Negotiation: Northwestern University
    • Writing and Editing: Word Choice and Word Order: University of Michigan
    • An Intuitive Introduction to Probability: University of Zurich
    • Healthcare IT Support: Johns Hopkins University
    • Building Scalable Java Microservices with Spring Boot and Spring Cloud: Google Cloud
    • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
    • BIM Fundamentals for Engineers: National Taiwan University

    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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