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    • Blended Learning

    Blended Learning Courses Online

    Explore blended learning techniques for combining online and face-to-face education. Learn to design and deliver effective blended 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 Blended Learning Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python Data Structures

      Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Import/Export, Data Manipulation, Development Environment, File Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      97K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM & Darden Digital Strategy

      Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Artificial Intelligence, Business Transformation, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, Cloud Engineering, Generative AI, Product Lifecycle Management, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Multivariate Calculus

      Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Convolutional Neural Networks

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Artificial Intelligence, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Solutions, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, ChatGPT, Cloud Computing, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      848 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Georgia Institute of Technology

      Write Professional Emails in English

      Skills you'll gain: Business Writing, Business Correspondence, Writing, Business Communication, English Language, Cultural Sensitivity, Cultural Diversity, Intercultural Competence, Grammar, Proofreading, Editing, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Analysis, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      New York University

      Reinforcement Learning in Finance

      Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics, Machine Learning, Estimation

      3.6
      Rating, 3.6 out of 5 stars
      ·
      134 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Matplotlib, Pandas (Python Package), Seaborn, Data Presentation, Data Import/Export, Web Scraping, Automation, Data Science, Data-Driven Decision-Making, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Python Data Structures: University of Michigan
    • IBM & Darden Digital Strategy: IBM
    • Deep Learning and Reinforcement Learning: IBM
    • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
    • Convolutional Neural Networks: DeepLearning.AI
    • Key Technologies for Business: IBM
    • Practical Machine Learning: Johns Hopkins University
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Write Professional Emails in English: Georgia Institute of Technology
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI

    Frequently Asked Questions about Blended Learning

    Blended learning refers to an education model that combines elements of traditional face-to-face instruction with online learning. This hybrid education system gives students greater control over where, how, and how quickly they progress through learning materials. Increased student control is a key feature of blended learning.‎

    It's important to learn blended learning because the roles of teachers and students in blended learning models are different than in traditional learning systems. In a traditional classroom, teachers primarily give information to students. In a blended learning model, they act as motivators and facilitators. Students must take a more active role in the learning process in a blended learning environment.

    If you're a teacher, it’s also important for you to know how to choose and provide engaging, interactive resources for students. Strategies and materials that work well in face-to-face instruction do not automatically have the same effect in a blended learning model. It’s also helpful to learn how to use some of the more popular learning management systems, whether you're a student or a teacher, so you understand the benefits and drawbacks of working within the system.‎

    There are several types of job opportunities available if you're interested in blended learning, ranging from class instructor to account representative for a learning management system. Blended learning requires curriculum developers who understand how to design courses for online learning and independent study. Other related roles include designers and developers for learning management systems. Companies that sell learning management systems to schools hire sales representatives, consultants, and technical specialists to support the schools and teachers who use their products.‎

    To succeed in blended learning, you'll want to have the ability to connect with people and value creativity and engagement with your students. You need to believe in the potential of online learning and independent study. You'll need to be an excellent time manager and can motivate yourself to keep up with tasks related to the job.‎

    Online Blended Learning courses offer a convenient and flexible way to enhance your existing knowledge or learn new Blended Learning skills. With a wide range of Blended Learning classes, you can conveniently learn at your own pace to advance your Blended Learning career skills.‎

    When looking to enhance your workforce's skills in Blended 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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