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    • E Learning

    E-Learning Courses Online

    Explore e-learning principles for online education. Learn to design and deliver effective digital learning experiences.

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    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.

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    Explore the E-Learning Course Catalog

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Introducción a la Ciencia de Datos

      Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Exploratory Data Analysis, Data Visualization, Dimensionality Reduction, Data Science, Descriptive Analytics, Supervised Learning, Regression Analysis, Scientific Visualization, Data-Driven Decision-Making, Data Processing, Time Series Analysis and Forecasting, Pandas (Python Package), Data Visualization Software, Statistical Machine Learning, Data Manipulation, Statistical Visualization, Machine Learning

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

      Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Usar o BigQuery ML para inferência

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Magíster en Ciencia de Datos

      Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Data Visualization

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Anomaly Detection, Dimensionality Reduction, Artificial Intelligence, Machine Learning, Regression Analysis, Probability & Statistics, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, Embedded Systems, Applied Machine Learning, Linear Algebra, Machine Learning Algorithms, Statistical Methods, Predictive Modeling, Bayesian Statistics, Ethical Standards And Conduct

      Credit offered

      Mastertrack · 6 - 12 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Polski

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

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Menggunakan BigQuery Machine Learning untuk Inferensi

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, PySpark, Interactive Data Visualization, Pandas (Python Package), Network Analysis, Deep Learning, Cloud Services, Natural Language Processing, JSON, Data Mining, Qualitative Research, Statistical Visualization, Unsupervised Learning, Applied Machine Learning, Time Series Analysis and Forecasting

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Data Science Graduate Certificate

      Skills you'll gain: Data Mining, Unsupervised Learning, Supervised Learning, Service Level, Deep Learning, Statistical Modeling, Machine Learning Algorithms, Statistical Inference, Statistical Machine Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Dimensionality Reduction, Probability, Applied Machine Learning, Data Warehousing, Probability & Statistics, Data Pipelines, Performance Testing, Bash (Scripting Language), Data Science

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      Como modernizar sites com a IA generativa no Google Cloud

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Integrar aplicativos com o Gemini 1.0 Pro no Google Cloud

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular e-learning courses

    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Certificado en Introducción a la Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
    • Usar o BigQuery ML para inferência: Google Cloud
    • Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile
    • Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
    • Responsible AI for Developers: Fairness & Bias - Polski: Google Cloud
    • Menggunakan BigQuery Machine Learning untuk Inferensi: Google Cloud
    • Master of Applied Data Science: University of Michigan
    • Data Science Graduate Certificate: University of Colorado Boulder

    Frequently Asked Questions about E Learning

    Before starting to learn E-Learning, it may be helpful to possess teaching and technology skills. If you have a basic understanding of Web 2.0 tools and platforms, such as Twitter and Skype used in K-16 instruction, you may have the foundation needed to study advanced E-Learning. If you can keep up with the fast-paced evolution of the E-learning industry, you may already have the skills necessary to learn the subject.‎

    Studying E-Learning could be right for you if you're an educator or trainer who wants to be able to overcome the challenges of effectively integrating online technologies into your teaching. E-Learning could benefit you if you are interested in exploring your level of experience and drawing on your strengths to find the right approaches for you, your students, and your educational context and content. If you want to learn about using multimedia for teaching and learning, encourage student collaboration, and discover how to use formative assessment and feedback by using digital flow tools, studying E-Learning may be right for you. If you want to understand E-Learning concepts, such as cognitive load theory (CLT) and transactional distance design frameworks used for creating technology-enriched and enabled learning environments (TEELE), this topic is the right one for you to study.‎

    One of the common career paths opening up to someone in E-Learning is a learning experience designer creating transformative and complex online learning experiences using technology. Many business sectors are hiring people for E-Learning projects, such as in health care, finance and insurance, government services, software technology, and of course all levels of education. A common career path for someone in E-Learning is in corporate human resources to train and develop employees around the globe. Many common career paths are becoming available for someone in E-Learning. That’s because for over three decades, educators and technologists have made the case for the transformative power of technology in learning, and many societal shifts are making institutions and businesses pay more attention to the concept of new learning in the 21st century.‎

    Related topics to E-Learning that you can study include gaming, which may help you design online learning experiences that will motivate and build teamwork. Another related topic you could study is mobile technology, which helps you understand how people need coursework delivered anywhere and anytime. You can also study cloud authoring, a topic related to E-learning because it helps you understand how to communicate a lot of information to teams. Learning more about video training and technology might be a good option so you can customize your E-Learning content with motivating and engaging visuals.‎

    Online E-Learning courses offer a convenient and flexible way to enhance your knowledge or learn new E-Learning skills. Choose from a wide range of E-Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in E-Learning, 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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