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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

      Observability in Google Cloud - Português Brasileiro

      Skills you'll gain: Prometheus (Software), Google Cloud Platform, Application Performance Management, Kubernetes, Cloud Management, Network Monitoring, System Monitoring, Capacity Management, Identity and Access Management, Cloud Services, Network Analysis, Query Languages

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Google Cloud

      Attention Mechanism - 日本語版

      Skills you'll gain: Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      CyberPatriot

      Skills you'll gain: Cybersecurity, Cyber Attacks, Unix, Virtualization, Computer Security Awareness Training, Computer Security, Linux, Information Systems Security, Cyber Security Assessment, Microsoft Windows, Network Security, Virtual Machines, System Configuration, Linux Commands, Data Security, Ethical Standards And Conduct, Security Awareness, Security Controls, Personally Identifiable Information, Operating Systems

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Créer des maquettes professionnelles avec Moqups

      Skills you'll gain: Mockups, Visualization (Computer Graphics), Wireframing, Web Design, Prototyping, User Interface and User Experience (UI/UX) Design, Collaborative Software, Data Sharing

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Security Best Practices in Google Cloud - Español

      Skills you'll gain: Cloud Security, Google Cloud Platform, Identity and Access Management, OAuth, Kubernetes, Encryption, Cloud Computing, Application Security, Authorization (Computing), Data Encryption Standard, Cloud Storage, Authentications, Data Security, Application Programming Interface (API), Virtual Machines, Vulnerability Scanning, Key Management

      Intermediate · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      Criando uma estratégia digital vencedora

      Skills you'll gain: Search Engine Marketing, Digital Marketing, Search Engine Optimization, Social Media Strategy, Web Content, Content Strategy, Digital Advertising, Web Analytics and SEO, Content Creation, Email Marketing, Digital Communications, E-Commerce, Target Audience

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Deep Learning Models in Python

      Skills you'll gain: Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Text Mining, Applied Machine Learning, Python Programming, Network Architecture

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      كيفية استخدام التطبيق كونستانت كونتاكت

      Skills you'll gain: Email Marketing, Marketing Analytics, Customer Engagement, Customer Communications Management, Customer Relationship Management, User Accounts, Software As A Service

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Harnessing Ollama – Create Local LLMs with Python

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Python Programming, Command-Line Interface, Natural Language Processing, Data Store, Application Development, Application Programming Interface (API), Restful API, Development Environment, System Requirements, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Build a Developer Portfolio with SvelteKit & Sanity CMS

      Skills you'll gain: Responsive Web Design, UI Components, Web Development, Full-Stack Web Development, Web Design and Development, Front-End Web Development, Web Development Tools, Cascading Style Sheets (CSS), Application Development, Content Management Systems, Application Deployment, Server Side, Hypertext Markup Language (HTML), Data Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Introduction to Programming with C#12 and .NET8

      Skills you'll gain: GitHub, Version Control, Object Oriented Programming (OOP), Debugging, Development Environment, C# (Programming Language), Microsoft Visual Studio, Microsoft Development Tools, Computer Programming, Programming Principles, Integrated Development Environments, .NET Framework, Data Structures

      Beginner · Course · 3 - 6 Months

    • Status: New
      New
      K

      Koç University

      KALKÜLÜS III: UYGULAMALAR / CALCULUS III: APPLICATIONS

      Skills you'll gain: Numerical Analysis, Calculus, Applied Mathematics, Integral Calculus, Mathematical Software, Mathematics Education, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives

      Mixed · Course · 1 - 4 Weeks

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

    • Observability in Google Cloud - Português Brasileiro: Google Cloud
    • Attention Mechanism - 日本語版: Google Cloud
    • CyberPatriot: Packt
    • Créer des maquettes professionnelles avec Moqups: Coursera Project Network
    • Security Best Practices in Google Cloud - Español: Google Cloud
    • Criando uma estratégia digital vencedora: Tecnológico de Monterrey
    • Natural Language Processing - Deep Learning Models in Python: Packt
    • كيفية استخدام التطبيق كونستانت كونتاكت: Coursera Project Network
    • Harnessing Ollama – Create Local LLMs with Python: Packt
    • Build a Developer Portfolio with SvelteKit & Sanity CMS: 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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