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  • Computational Thinking For K 12 Educators Sequences And Loops Ethical Hacking

Results for "computational thinking for k-12 educators: sequences and loops ethical hacking"


  • Status: Free Trial
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    I

    Illinois Tech

    Bayesian Computational Statistics

    Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Statistical Software, R Programming, Markov Model, Probability, Simulations, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Feedback Loops: Horizontal Feedback

    Skills you'll gain: Constructive Feedback, Cooperation, Independent Thinking, Empathy, Rapport Building, Teamwork, Collaboration, Relationship Building, Diversity and Inclusion, Emotional Intelligence, Cognitive flexibility, Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Feedback Loops: Team Feedback

    Skills you'll gain: Constructive Feedback, Team Performance Management, Team Building, Teamwork, Team Management, Professional Development, Collaboration, Innovation, Resource Allocation, People Management, Diversity and Inclusion, Communication

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    T

    The University of Sydney

    Creative Thinking and Innovation

    Skills you'll gain: Creative Thinking, Creativity, Creative Problem-Solving, Innovation, Ideation, Brainstorming, Cognitive flexibility, Design Thinking, Open Mindset, Curiosity, Strategic Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Generative AI for Executives and Business Leaders

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Risk Mitigation, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, AI Product Strategy, Generative AI Agents, Artificial Intelligence, Hybrid Cloud Computing, Business Leadership, Goal Setting, Business Solutions, Cloud Computing Architecture, Strategic Leadership, Compliance Management, Data Strategy, Governance

    4.7
    Rating, 4.7 out of 5 stars
    ·
    612 reviews

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California San Diego

    Biology Meets Programming: Bioinformatics for Beginners

    Skills you'll gain: Bioinformatics, Programming Principles, Python Programming, Computational Thinking, Biology, Data Structures

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · 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
    ·
    921 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Politecnico di Milano

    Platform Thinking for the Metaverse

    Skills you'll gain: Business Modeling, Augmented and Virtual Reality (AR/VR), Innovation, Technology Strategies, Virtual Environment, Business Transformation, Systems Thinking, Emerging Technologies, Strategic Thinking, Business Strategies, Technology Solutions, Digital Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    AutoCAD for beginners: Drafting blueprints and schematics

    Skills you'll gain: AutoCAD, Architectural Drawing, Drafting and Engineering Design, Blueprint Reading, Blueprinting, Technical Drawing, Computer-Aided Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    44 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Advanced Creative Thinking and AI: Tools for Success

    Skills you'll gain: Design Thinking, Creative Thinking, Creativity, Brainstorming, Cognitive flexibility, Ideation, Innovation, Artificial Intelligence, Critical Thinking, Sustainable Design, Prototyping

    4.7
    Rating, 4.7 out of 5 stars
    ·
    108 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular computational thinking for k-12 educators: sequences and loops ethical hacking courses

  • Bayesian Computational Statistics: Illinois Tech
  • Feedback Loops: Horizontal Feedback : University of Michigan
  • Feedback Loops: Team Feedback: University of Michigan
  • Creative Thinking and Innovation: The University of Sydney
  • Generative AI for Executives and Business Leaders: IBM
  • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Platform Thinking for the Metaverse: Politecnico di Milano
  • Introduction to Computational Statistics for Data Scientists: Databricks

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