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

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      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, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 1 - 3 Months

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      U

      University of Pittsburgh

      Mathematical Foundations for Data Science and Analytics

      Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

      Build toward a degree

      Beginner · Specialization · 1 - 3 Months

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      B

      Birla Institute of Technology & Science, Pilani

      Logic for Computer Science

      Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Analytical Skills, Theoretical Computer Science, Computational Thinking, Computer Science, Data Analysis, Computer Programming, Verification And Validation, Algorithms, Program Development, Software Development, Machine Learning

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Git (Version Control System), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Responsible AI for Developers

      Skills you'll gain: Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Personally Identifiable Information, Applied Machine Learning, Artificial Intelligence, Data Security, Cloud Security, Testability, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security, Machine Learning, Interoperability, Data-Driven Decision-Making, Machine Learning Methods, Ethical Standards And Conduct, Encryption, Open Source Technology, Technical Communication

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
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      E

      EDUCBA

      R: Apply & Analyze K-Means Clustering for Unsupervised ML

      Skills you'll gain: Unsupervised Learning, Customer Analysis, Customer Insights, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

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      U

      University of Illinois Urbana-Champaign

      Dairy Nutrition for Udder Success

      Skills you'll gain: Nutrition and Diet, Predictive Analytics, Maternal Health, Machine Learning, Health Assessment, Food and Beverage, Infectious Diseases, Health Systems, Operating Cost, Market Dynamics, Water Resources, Food Safety and Sanitation, Manufacturing and Production, Behavioral Economics, Business Economics, Environment, Molecular Biology, Production Management, Consumer Behaviour, Molecular, Cellular, and Microbiology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
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      S

      Saïd Business School, University of Oxford

      AI Foundations for Business Professionals

      Skills you'll gain: Prompt Engineering, Generative AI, Agentic systems, OpenAI, Artificial Neural Networks, Data Ethics, Governance, Artificial Intelligence, ChatGPT, Governance Risk Management and Compliance, Artificial Intelligence and Machine Learning (AI/ML), Compliance Management, Data Governance, Enterprise Risk Management (ERM), Large Language Modeling, Business Process Automation, Business Ethics, Risk Management, Machine Learning, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
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      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 1

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Pearson

      Learn MLOps for Machine Learning

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
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      N

      Northeastern University

      Statistical Learning for Engineering Part 2

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Decision Tree Learning, Generative AI, Random Forest Algorithm, Predictive Modeling, Feature Engineering

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Computational Thinking with JavaScript 2: Model & Analyse

      Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting Languages, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Programming Principles, Computer Programming, Algorithms, Software Development

      Beginner · Course · 1 - 4 Weeks

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

    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
    • Logic for Computer Science: Birla Institute of Technology & Science, Pilani
    • Data Science: Foundations using R: Johns Hopkins University
    • Responsible AI for Developers: Google Cloud
    • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
    • Dairy Nutrition for Udder Success: University of Illinois Urbana-Champaign
    • AI Foundations for Business Professionals: Saïd Business School, University of Oxford
    • Statistical Learning for Engineering Part 1: Northeastern University
    • Learn MLOps for Machine Learning: Pearson

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