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  • Computational Thinking

Computational Thinking Courses

Computational thinking courses can help you learn problem decomposition, pattern recognition, algorithmic design, and abstraction techniques. You can build skills in logical reasoning, data analysis, and effective solution development across various applications, from programming to data science. Many courses introduce tools like Python, Scratch, and various simulation software, demonstrating how these skills can be applied to solve complex problems in fields such as artificial intelligence, robotics, and software development.


Popular Computational Thinking Courses and Certifications


  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Computing Systems

    Skills you'll gain: Computer Architecture, Computer Systems, Computational Logic, Hardware Design, Computer Hardware, Programming Principles, Digital Signal Processing, Debugging

    4.3
    Rating, 4.3 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    740 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Simulation, Algorithm Analysis, and Pointers

    Skills you'll gain: File I/O, Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Theoretical Computer Science, Programming Principles, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators Capstone

    Skills you'll gain: Algorithms, Programming Principles, Computational Thinking, Program Development, Code Review, Software Documentation, Debugging, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C and C++, Communication Systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Conditional Loops and If Statements

    Skills you'll gain: Debugging, Program Development, Programming Principles, Computational Thinking, Diversity Equity and Inclusion Initiatives, Digital pedagogy, Computer Programming, Computer Science

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    219 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I
    U
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    117K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Mathematical Thinking in Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Teaching Impacts of Technology in K-12 Education

    Skills you'll gain: Big Data, Cybersecurity, Pedagogy, Student Engagement, Blockchain, Digital pedagogy, Algorithms, Data Security, Teaching, digital literacy, Cryptography, Technical Communication, Diversity Awareness, K-12 pedagogy, Information Privacy, Emerging Technologies, Computer Networking, Digital Transformation, Diversity Equity and Inclusion Initiatives, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals

    Skills you'll gain: Debugging, Computer Programming Tools, Digital pedagogy, Education Software and Technology, Computational Thinking, Programming Principles, Computer Programming, Computer Science, Game Design

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Design Thinking for Innovators

    Skills you'll gain: Design Thinking, Business Transformation, Process Design, Business Process, Human Centered Design, Business Solutions, Innovation, Creative Problem-Solving, Ideation, Creativity, Overcoming Obstacles, User Research, User Feedback, Empathy, Adaptability, Needs Assessment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    45 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular computational thinking courses

  • Introduction to Computing Systems: Birla Institute of Technology & Science, Pilani
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
  • Computational Thinking for K-12 Educators Capstone: University of California San Diego
  • Parallel Computing with MPI: University of Colorado Boulder
  • Computational Thinking for K-12 Educators: Conditional Loops and If Statements: University of California San Diego
  • Algorithmic Thinking (Part 2): Rice University
  • Data Science Foundations: IBM
  • Mathematical Thinking in Computer Science: University of California San Diego
  • Teaching Impacts of Technology in K-12 Education: University of California San Diego

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