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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

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on GC - 한국어

      Skills you'll gain: Data Pipelines, Google Cloud Platform, Real Time Data, Data Processing, Big Data, Analytics, Cloud Services, Performance Tuning, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 日本語版

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 日本語版

      Skills you'll gain: Data Ethics, Artificial Intelligence, Data Governance, Data Quality, Applied Machine Learning, Machine Learning, Technical Documentation, Software Documentation

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois at Urbana-Champaign

      Master of Computer Science (feat. Data Science Track)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Practical Pentesting

      Skills you'll gain: Penetration Testing, Cyber Security Assessment, Data Security, Vulnerability Scanning, Vulnerability Assessments, Cyber Security Strategy, Cybersecurity, Application Security, Test Tools, Authorization (Computing), Computing Platforms, Command-Line Interface, Technical Documentation, Technical Communication

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Vector Search and Embeddings - Français

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Google Cloud Platform, Natural Language Processing, Text Mining, Application Programming Interface (API), Machine Learning Methods, Cloud Computing, Cloud Services

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Amsterdam

      COVID UNCOVERED: Beleidsimpact op sociaal kwetsbare mensen

      Skills you'll gain: Socioeconomics, Gerontology, Community and Social Work, Social Sciences, Disabilities, Social Work, Vulnerability, Public Policies, Program Evaluation, Policy Analysis, Qualitative Research

      Mixed · 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, Graphics Software

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      O

      O.P. Jindal Global University

      Introduction to Health Policy

      Skills you'll gain: Health Systems, Policy Analysis, Public Policies, Health Care, Epidemiology, Social Justice, Social Sciences, Health Care Administration, Demography, Economics, Economic Development, Socioeconomics, Sociology

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Semantic Kernel SDK for Intelligent Applications

      Skills you'll gain: Generative AI, OpenAI, ChatGPT, Microsoft Visual Studio, Development Environment, Persona (User Experience), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Microsoft Azure, Semantic Web, Persona Development, Business Logic, Natural Language Processing, Program Development, Application Development, Personalized Service, Full-Stack Web Development, Application Programming Interface (API), Automation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      ASP.NET Core Fundamentals and Environment Setup

      Skills you'll gain: GitHub, Model View Controller, ASP.NET, Git (Version Control System), .NET Framework, Bootstrap (Front-End Framework), Responsive Web Design, Microsoft Visual Studio, Development Environment, Application Frameworks, C# (Programming Language), Full-Stack Web Development, Web Design and Development, Configuration Management

      Beginner · Course · 1 - 3 Months

    • B

      BITS Pilani

      Bachelor of Science in Computer Science

      Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Object Oriented Design, Operating Systems, Android Development, Database Design, Bioinformatics, Feature Engineering, Algorithms, Version Control, Java Programming, Data Structures, Model View Controller, Computational Logic, Database Systems, Computer Systems

      Earn a degree

      Degree · 1 - 4 Years

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

    • Building Resilient Streaming Analytics Systems on GC - 한국어: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - 日本語版: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
    • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign
    • Practical Pentesting : Packt
    • Vector Search and Embeddings - Français: Google Cloud
    • COVID UNCOVERED: Beleidsimpact op sociaal kwetsbare mensen: University of Amsterdam
    • Blender Lighting & Compositing for Beginners : Packt
    • Introduction to Health Policy : O.P. Jindal Global University
    • Semantic Kernel SDK for Intelligent Applications : 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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