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  • Computational Thinking For K 12 Educators Sequences And Loops

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


  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Getting Started with Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, AI Personalization, Deep Learning, Feature Engineering, Open Source Technology, Data Processing, Application Deployment, Natural Language Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Fundamentos de Inteligência Artificial para Finanças

    Skills you'll gain: Deep Learning, Predictive Analytics, FinTech, Data-Driven Decision-Making, Machine Learning, Digital Transformation, Analytics, Artificial Intelligence, Artificial Neural Networks, Finance, Data Science, Automation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations in Human-Centered AI

    Skills you'll gain: Responsible AI, Human Centered Design, Human Computer Interaction, Generative AI, Interaction Design, User Interface (UI), Artificial Intelligence, Machine Learning, Deep Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    6 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    Dartmouth College

    Master of Engineering in Computer Engineering

    Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Statistical Machine Learning, Embedded Systems, Machine Learning, Machine Learning Algorithms, Embedded Software, Distributed Computing, Deep Learning, Image Analysis, Software Design, Hardware Design, Computer Vision, Electrical and Computer Engineering, Engineering Analysis, Student Support and Services, Student Services, Text Mining, Digital Communications, Electrical Engineering

    Earn a degree

    Degree · 1 - 4 Years

  • Status: Free Trial
    Free Trial
    C

    Coursera

    8 Most Controversial Terms in AI, Explained

    Skills you'll gain: Artificial Intelligence, Responsible AI, Generative AI, Open Source Technology, Large Language Modeling, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning

    3.5
    Rating, 3.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Predictive Analytics Project Ideation

    Skills you'll gain: Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    How to Use Data

    Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Data Visualization, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Verbal Communication Skills, Matplotlib, Data Storage, Data Science, Machine Learning

    Beginner · Specialization · 1 - 3 Months

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

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Data Processing, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 3 - 6 Months

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

  • Foundations of Machine Learning : Fractal Analytics
  • Getting Started with Generative AI: Edureka
  • Fundamentos de Inteligência Artificial para Finanças: Fundação Instituto de Administração
  • Foundations in Human-Centered AI: Northeastern University
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Master of Engineering in Computer Engineering: Dartmouth College
  • 8 Most Controversial Terms in AI, Explained: Coursera
  • Machine Learning Essentials: University of Pennsylvania
  • Applied Machine Learning: Johns Hopkins University
  • Predictive Analytics Project Ideation: University of Minnesota

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