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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
      G

      Google Cloud

      Google Professional Workspace Administrator

      Skills you'll gain: User Provisioning, Data Governance, Google Workspace, Data Loss Prevention, Gmail, User Accounts, Information Management, Email Security, Data Management, Data Security, Document Management, Identity and Access Management, Mobile Security, Records Management, Data Storage, Security Management, Cloud Security, Service Management, Scripting, Technical Support

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Beginner · Professional Certificate · 1 - 4 Weeks

    • U

      University of Virginia

      Managerial Accounting Fundamentals

      Skills you'll gain: Management Accounting, Cost Accounting, Accounting, Cost Benefit Analysis, Cost Management, Financial Accounting, Financial Data, Financial Analysis, Decision Making, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      809 reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      Lund University

      Circular Economy - Sustainable Materials Management

      Skills you'll gain: Environment and Resource Management, Materials Management, Environmental Science, Systems Thinking, Supply Chain Management, Environmental Policy, Product Lifecycle Management, Business Strategies, Industrial Design, Innovation, Stakeholder Engagement, Consumer Behaviour

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Salesforce

      Sales and CRM Overview

      Skills you'll gain: Sales Process, Sales, Salesforce, Customer Relationship Management (CRM) Software, Sales Operations, Customer Relationship Management, Sales Development, B2B Sales, Data Management, Customer Data Management, Databases, Data Cleansing, Business-To-Consumer

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Linear Algebra, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Visualization & Dashboarding with R

      Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Spatial Data Analysis, Data Visualization, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Data Literacy, Data Manipulation, Plotly, Storyboarding, Data Storytelling, Heat Maps

      4.8
      Rating, 4.8 out of 5 stars
      ·
      429 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analyst Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Professional Development, Data Analysis, Recruitment, Relationship Building, Presentations, Talent Recruitment, Analytics, Portfolio Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Y

      Yonsei University

      International Marketing & Cross Industry Growth

      Skills you'll gain: Business Marketing, Hospitality Management, Peer Review, Global Marketing, Marketing, Hospitality, Brand Management, B2B Sales, Customer Service, Innovation, Customer experience strategy (CX), Promotional Strategies, Strategic Marketing, Business-To-Consumer, Consumer Behaviour, Target Market, Market Share, Expectation Management, Growth Strategies, Digital Marketing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · 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
      G

      Google Cloud

      Digital Transformation with Google Cloud

      Skills you'll gain: Digital Transformation, Cloud Services, Cloud Infrastructure, Infrastructure As A Service (IaaS), Cloud Computing, Public Cloud, Business Transformation, Technology Strategies, Google Cloud Platform, Software As A Service, Platform As A Service (PaaS), Hybrid Cloud Computing, Cloud Security, Multi-Cloud, Capital Expenditure

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Machine Design Part I

      Skills you'll gain: Failure Analysis, Mechanical Design, Mechanical Engineering, Structural Analysis, Engineering Analysis, Engineering Design Process, Engineering Practices, Engineering Calculations, Verification And Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 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

    Exploratory Data Analysis learners also search

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

    • Google Professional Workspace Administrator: Google Cloud
    • Managerial Accounting Fundamentals: University of Virginia
    • Circular Economy - Sustainable Materials Management: Lund University
    • Sales and CRM Overview: Salesforce
    • Machine Learning: Regression: University of Washington
    • Data Visualization & Dashboarding with R: Johns Hopkins University
    • Data Analyst Career Guide and Interview Preparation: IBM
    • International Marketing & Cross Industry Growth: Yonsei University
    • Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud
    • Digital Transformation with Google Cloud: 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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