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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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    Simplilearn

    Q Learning in Reinforcement Training Basics

    Skills you'll gain: Reinforcement Learning, Agentic systems

    Beginner · Course · 1 - 4 Weeks

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    H2O.ai

    H2O Wave Starter Course

    Skills you'll gain: LLM Application, Application Development, Application Design, User Interface (UI), Development Environment, Cloud Applications, Interactive Design, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Deployment, Python Programming, Open Source Technology

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Apache Spark with Scala: Master Data Building & Analysis

    Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Apache Maven, Real Time Data, Data Processing, Scalability, Data Structures, Object Oriented Programming (OOP), Systems Integration

    Mixed · Course · 1 - 4 Weeks

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    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 2

    Skills you'll gain: Generative AI, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Continuous Deployment, System Monitoring, Real Time Data, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Performance Tuning, Advanced Analytics, Artificial Intelligence, Machine Learning, Data Cleansing

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Master Decision Trees in R: Build, Predict & Evaluate

    Skills you'll gain: Supervised Learning, Data-Driven Decision-Making

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Apache Spark: Apply & Evaluate Big Data Workflows

    Skills you'll gain: Apache Spark, PySpark, Big Data, Data Pipelines, Data Processing, Distributed Computing, JSON, Data Manipulation, Data Transformation, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

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    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Dimensionality Reduction, Text Mining, Applied Machine Learning, Statistical Machine Learning, Supervised Learning, Unsupervised Learning, Python Programming, Machine Learning, Predictive Modeling, Regression Analysis, Algorithms

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Advanced Matplotlib: Design & Customize Visualizations

    Skills you'll gain: Matplotlib, Plot (Graphics), Scientific Visualization, Data Visualization Software, Data Presentation

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning with Small Data Part 2

    Skills you'll gain: Generative AI, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Graphics, Machine Learning, Image Analysis, Data Synthesis, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Modeling, Mathematical Modeling

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Seaborn Python: Visualize & Analyze Data Distributions

    Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze Web Logs with Kibana & Elasticsearch

    Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Data Presentation, Data Storytelling, Web Analytics, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Business Intelligence, Data Import/Export

    Mixed · Course · 1 - 4 Weeks

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    Packt

    The Simplest Guideâ„¢ to Base SAS & Advanced SAS

    Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

1…181182183…184

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

  • Q Learning in Reinforcement Training Basics: Simplilearn
  • H2O Wave Starter Course: H2O.ai
  • Apache Spark with Scala: Master Data Building & Analysis: EDUCBA
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
  • Master Decision Trees in R: Build, Predict & Evaluate: EDUCBA
  • Apache Spark: Apply & Evaluate Big Data Workflows: EDUCBA
  • NLP – Machine Learning Models in Python: Packt
  • Advanced Matplotlib: Design & Customize Visualizations: EDUCBA
  • Machine Learning with Small Data Part 2: Northeastern University
  • Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA

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