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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: New
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    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI and Public Health

    Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

    4.8
    Rating, 4.8 out of 5 stars
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    247 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of California, Irvine

    Identifying the Right Role for Yourself

    Skills you'll gain: Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Needs Assessment, Big Data, System Requirements, Analytical Skills, Business Analysis, Cloud Computing Architecture, Cloud Engineering

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Statistical Modeling, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
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    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    C

    Coursera

    Quantitative Research Methods: Tools for Data Analysis

    Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistical Reporting, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, Research, R Programming, Data Presentation, Surveys, Data Collection, Data Ethics

    4.5
    Rating, 4.5 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    S

    Simplilearn

    LangChain Course for LLM Application Development

    Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Tool Calling, Generative AI, Generative AI Agents, Prompt Engineering, Unstructured Data, Semantic Web, Data Structures

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Generative AI, Natural Language Processing, Data Ethics, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
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    168 reviews

    Intermediate · Course · 1 - 4 Weeks

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    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

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    D

    DeepLearning.AI

    AI and Disaster Management

    Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Artificial Intelligence, Computer Vision, Geospatial Information and Technology, Machine Learning Methods, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    316 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming, Data Visualization

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    A

    Association of International Certified Professional Accountants

    Introduction to Data Analytics for Accounting Professionals

    Skills you'll gain: Data Literacy, Data-Driven Decision-Making, Analytics, Financial Data, Business Analytics, Data Strategy, Project Design, Data Analysis, Business Intelligence, Project Implementation, Data Management, Unstructured Data

    4.7
    Rating, 4.7 out of 5 stars
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    94 reviews

    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

  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • AI and Public Health: DeepLearning.AI
  • Identifying the Right Role for Yourself: University of California, Irvine
  • Data Analysis and Interpretation: Wesleyan University
  • Quantitative Research Methods: Tools for Data Analysis: Coursera
  • LangChain Course for LLM Application Development: Simplilearn
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Essential Causal Inference Techniques for Data Science: Coursera
  • AI and Disaster Management: DeepLearning.AI

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