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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
      M

      Meta

      Meta React

      Skills you'll gain: Jest (JavaScript Testing Framework), React.js, Mobile Development, Web Applications, Event-Driven Programming, JavaScript Frameworks, Application Development, API Design, UI Components, Unit Testing, TypeScript, Javascript, Cascading Style Sheets (CSS), Integration Testing, Development Environment, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Convolutional Neural Networks in TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Y

      Yale University

      Moral Foundations of Politics

      Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, European History, Law, Regulation, and Compliance, Governance, Ethical Standards And Conduct, Socioeconomics, Economics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Michigan State University

      Photography Basics and Beyond: From Smartphone to DSLR

      Skills you'll gain: Design Elements And Principles, Photography, Photo Editing, Peer Review, Graphic and Visual Design, Post-Production, Photo/Video Production and Technology, Digital Design, File Management, Adobe Creative Cloud, Creativity, Color Theory, Storytelling, Content Creation, Writing, Information Privacy, Web Design and Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      HTML, CSS, and Javascript for Web Developers

      Skills you'll gain: HTML and CSS, Javascript, Responsive Web Design, Ajax, Front-End Web Development, Web Design, Web Applications, Hypertext Markup Language (HTML), Browser Compatibility, Web Development, Cascading Style Sheets (CSS), Usability, Cross Platform Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Fintech: Foundations & Applications of Financial Technology

      Skills you'll gain: FinTech, Portfolio Management, Consumer Lending, Return On Investment, Blockchain, Cryptography, Credit/Debit Card Processing, Digital Assets, Financial Services, Payment Processing, Investments, Lending and Underwriting, Investment Management, Technology Strategies, Emerging Technologies, Risk Analysis, Fundraising and Crowdsourcing, Financial Market, Market Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Conduct UX Research and Test Early Concepts

      Skills you'll gain: UI/UX Research, Usability Testing, User Experience Design, Usability, Presentations, User Research, User Experience, Design Research, Research Design, User Centered Design, Research Methodologies, Prototyping, Interviewing Skills, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      From Likes to Leads: Interact with Customers Online

      Skills you'll gain: Social Media Strategy, Social Media Marketing, Content Creation, Social Media Campaigns, Social Media Management, Marketing Analytics, Customer Engagement, Digital Advertising, Brand Awareness, Advertising, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      381 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Software Product Management

      Skills you'll gain: Requirements Analysis, Agile Software Development, Agile Methodology, Kanban Principles, Project Planning, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Code Review, Software Development, Product Requirements, Risk Management Framework, User Story

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced Data Modeling

      Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Database Management, Databases, Relational Databases, Database Architecture and Administration, Advanced Analytics, Data Analysis, Data Visualization Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      102 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Virginia

      Marketing Analytics

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Marketing, Marketing Strategies, Regression Analysis, Data-Driven Decision-Making, Strategic Marketing, Brand Management, Resource Allocation, Customer Insights, Predictive Analytics, Advertising Campaigns, Statistical Analysis, A/B Testing, Consumer Behaviour, Return On Investment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.4K reviews

      Beginner · Course · 1 - 3 Months

    Exploratory Data Analysis learners also search

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

    • Meta React: Meta
    • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
    • Moral Foundations of Politics : Yale University
    • Photography Basics and Beyond: From Smartphone to DSLR: Michigan State University
    • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
    • Fintech: Foundations & Applications of Financial Technology: University of Pennsylvania
    • Conduct UX Research and Test Early Concepts: Google
    • From Likes to Leads: Interact with Customers Online: Google
    • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
    • Software Product Management: University of Alberta

    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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