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  • Computational Thinking For K 12 Educators Sequences And Loops

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


  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Processing, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Data Visualization, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    66 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Preparation and Analysis

    Skills you'll gain: Machine Learning Algorithms, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Science, Regression Analysis, Data Manipulation, Data Mining, Statistical Modeling, Python Programming, Feature Engineering, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Decision Tree Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Computer Vision, Spatial Analysis, Machine Learning, Dimensionality Reduction, Linear Algebra, Deep Learning, Data Validation, Supervised Learning, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    179 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Github CoPilot for Beginners: Write Software With AI

    Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, Prompt Engineering, Web Development Tools, Web Development, Generative AI, GitHub, Javascript, Artificial Intelligence, Software Engineering, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    F

    Fred Hutchinson Cancer Center

    Practical Steps for Building Fair AI Algorithms

    Skills you'll gain: ChatGPT, Responsible AI, Generative AI, Data Ethics, Algorithms, Artificial Intelligence, Large Language Modeling, Predictive Analytics, Machine Learning, Diversity Awareness, Health Equity, Software Documentation, Case Studies

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computing, Ethics, and Society

    Skills you'll gain: Data Ethics, Healthcare Ethics, Responsible AI, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Medical Privacy, Information Privacy, Machine Learning, Media and Communications, Automation, Cultural Diversity, Personally Identifiable Information, Workplace inclusivity, Law, Regulation, and Compliance, Emerging Technologies

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Prompt Engineering with GPT: Programming for Custom Content

    Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, ChatGPT, Scripting, LLM Application, Python Programming, Application Programming Interface (API), Application Development, Machine Learning, Software Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    68 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Intro to Snowflake for Devs, Data Scientists, Data Engineers

    Skills you'll gain: Data Engineering, Data Manipulation, Data Lakes, Data Warehousing, SQL, Cloud Development, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, LLM Application, Generative AI, Data Science, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Predictive Analytics for Business with H2O in R

    Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Analytics, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    53 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Decision Tree Classifier for Beginners in R: Coursera
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • Data Preparation and Analysis: Illinois Tech
  • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
  • Foundations of ML & Python for Data Science: Packt
  • Github CoPilot for Beginners: Write Software With AI: Coursera
  • Practical Steps for Building Fair AI Algorithms: Fred Hutchinson Cancer Center
  • Computing, Ethics, and Society: University of Colorado Boulder
  • Prompt Engineering with GPT: Programming for Custom Content: Coursera
  • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake

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