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The language used throughout the course, in both instruction and assessments.
632 results for "interactive content"
- Status: Free
Coursera Instructor Network
Skills you'll gain: Communication, Innovation
University of Michigan
Skills you'll gain: Computer Programming, Python Programming
University of California San Diego
Skills you'll gain: Internet Of Things
Arizona State University
Skills you'll gain: Human Learning
Board Infinity
Skills you'll gain: HTML and CSS, Javascript, React (web framework)
University of Colorado Boulder
University of Michigan
- Status: Free
University of London
Skills you'll gain: Computer Programming, Programming Principles, Python Programming, Computational Logic, Computer Programming Tools, Critical Thinking, Computational Thinking, Mathematics, Problem Solving, Algorithms
University of Minnesota
Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Probability & Statistics, Machine Learning, Applied Machine Learning, Natural Language Processing, Statistical Analysis, Statistical Programming, Microsoft Excel
Georgia Institute of Technology
Skills you'll gain: Computer Programming, Python Programming, Programming Principles, Computational Logic, Mathematics, Computer Graphics, Computer Programming Tools, Problem Solving, Visualization (Computer Graphics), Computational Thinking
In summary, here are 10 of our most popular interactive content courses
- Brand Management: Strategies for a Strong Brand:Â Coursera Instructor Network
- Data Collection and Processing with Python:Â University of Michigan
- Internet of Things: How did we get here?:Â University of California San Diego
- Assessing Achievement with the ELL in Mind:Â Arizona State University
- React Fundamentals:Â Board Infinity
- Digital Media and Strategic Planning in Technology Markets:Â University of Colorado Boulder
- Black Performance as Social Protest:Â University of Michigan
- Get Interactive: Practical Teaching with Technology:Â University of London
- An Introduction to Interactive Programming in Python (Part 1):Â Rice University
- Introduction to Recommender Systems: Non-Personalized and Content-Based:Â University of Minnesota