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  • Computational Thinking For K 12 Educators Nested If Statements And Compound Conditionals

Results for "computational thinking for k-12 educators: nested if statements and compound conditionals"


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    U

    University of Colorado System

    Queering the Schoolhouse: LGBTQ+ Inclusion for Educators

    Skills you'll gain: Curriculum Development, Education and Training, Workplace inclusivity, Advocacy, School Counseling, Student Support and Services, Diversity Awareness, Diversity Equity and Inclusion Initiatives, Lifelong Learning, Cultural Responsiveness, Social Justice, Community Development

    4.7
    Rating, 4.7 out of 5 stars
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    143 reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of Pennsylvania

    English for Science, Technology, Engineering, and Mathematics

    Skills you'll gain: Research, Vocabulary, Climate Change Adaptation, Literacy, English Language, Sustainable Technologies, Environment, Environmental Science, Grammar, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Beginner · Course · 1 - 3 Months

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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, Sampling (Statistics), R Programming, Markov Model, Logistic Regression, Probability, Simulations, Model Evaluation, Probability Distribution

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    Intermediate · Course · 1 - 3 Months

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    I

    IBM

    Generative AI for Executives and Business Leaders

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Artificial Intelligence, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Compliance Training, IBM Cloud, Cloud Computing Architecture, Strategic Leadership, Data Strategy, Brainstorming, Return On Investment, LLM Application, Governance

    4.7
    Rating, 4.7 out of 5 stars
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    658 reviews

    Intermediate · Specialization · 1 - 3 Months

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    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

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    U

    University of California San Diego

    Biology Meets Programming: Bioinformatics for Beginners

    Skills you'll gain: Bioinformatics, Programming Principles, Molecular, Cellular, and Microbiology, Python Programming, Computational Thinking, Biology

    4.2
    Rating, 4.2 out of 5 stars
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    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Reconcile Accounts: Bank Statements

    Skills you'll gain: Reconciliation, Ledgers (Accounting), Auditing, Accounting Records, General Ledger

    Beginner · Course · 1 - 4 Weeks

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    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Machine Learning Algorithms, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    939 reviews

    Intermediate · Course · 1 - 4 Weeks

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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, Resourcefulness, Strategic Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistical Methods, Data Analysis, Statistical Analysis, Artificial Intelligence

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    277 reviews

    Intermediate · Course · 1 - 3 Months

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    C

    Creo Incubator

    Critical Thinking for Decision Making

    Skills you'll gain: Critical Thinking, Critical Thinking and Problem Solving, Analytical Skills, Analysis, Problem Solving, Decision Making, Curiosity, Complex Problem Solving, Research, Strategic Decision-Making, Open Mindset

    Beginner · Course · 1 - 4 Weeks

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    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

Searches related to computational thinking for k-12 educators: nested if statements and compound conditionals

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In summary, here are 10 of our most popular computational thinking for k-12 educators: nested if statements and compound conditionals courses

  • Queering the Schoolhouse: LGBTQ+ Inclusion for Educators: University of Colorado System
  • English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
  • Bayesian Computational Statistics: Illinois Tech
  • Generative AI for Executives and Business Leaders: IBM
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
  • Reconcile Accounts: Bank Statements: Coursera
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Creative Thinking and Innovation: The University of Sydney
  • Probability Foundations for Data Science and AI: University of Colorado Boulder

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