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  • Computational Thinking For K 12 Educators Sequences And Loops

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


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    E

    EDUCBA

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

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Data Analysis, Data Manipulation, Data Transformation, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    732 reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Customer Segmentation with K-Means: Model & Visualize

    Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Pandas (Python Package), Heat Maps, Data Processing, Seaborn, Histogram, Matplotlib, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Data Visualization Software

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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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

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for People and Talent Management

    Skills you'll gain: Generative AI Agents, Employee Performance Management, Workforce Planning, Talent Management, Performance Management, AI Personalization, People Development, Human Resource Strategy, HR Tech, Human Resources, People Analytics, Workforce Management, Diversity and Inclusion, Employee Engagement, Innovation, Analytics, Adaptability, Real Time Data

    4.6
    Rating, 4.6 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    63K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    GenAI for Fraud Detection and Compliance

    Skills you'll gain: Fraud detection, Generative AI, Generative Model Architectures, Responsible AI, Regulatory Requirements, Compliance Management, Governance, Business Risk Management, Risk Management, Data Ethics, Anomaly Detection, Artificial Intelligence, Forecasting

    4.3
    Rating, 4.3 out of 5 stars
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    35 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Python and Pandas for Data Engineering

    Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment

    4.6
    Rating, 4.6 out of 5 stars
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    261 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    P

    Packt

    Python for Data Analysis and Automation

    Skills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, Data Storage Technologies, Data Storage, Scripting, Data Manipulation, File Management, Software Installation

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Fractal Analytics

    Leadership Strategies for AI and Generative AI

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Human Centered Design, Problem Solving, Generative Model Architectures, Business Leadership, AI Product Strategy, Business Strategy, Ethical Standards And Conduct, Analytical Skills, Strategic Thinking, Data Strategy, Information Privacy, Personally Identifiable Information, Artificial Intelligence, Critical Thinking, Design Thinking, Thought Leadership, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
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    189 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
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    156 reviews

    Beginner · Course · 1 - 4 Weeks

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    Emory University

    Reproducible Templates for Analysis and Dissemination

    Skills you'll gain: Rmarkdown, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R (Software), R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control

    4.7
    Rating, 4.7 out of 5 stars
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    20 reviews

    Beginner · Course · 1 - 3 Months

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

  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Customer Segmentation with K-Means: Model & Visualize: EDUCBA
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • GenAI for People and Talent Management: Coursera
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • GenAI for Fraud Detection and Compliance: Coursera
  • Python and Pandas for Data Engineering: Duke University
  • Python for Data Analysis and Automation: Packt
  • Leadership Strategies for AI and Generative AI: Fractal Analytics

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