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  • Foundations Of Teaching For Learning Planning For Teaching And Learning

Results for "foundations of teaching for learning: planning for teaching and learning"


  • Status: New
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    N

    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Supply Chain Planning

    Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Supply Chain Management, Supply Chain, Capacity Planning, Production Planning, Materials Management, Forecasting, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Key Performance Indicators (KPIs), Data Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    315 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Colorado Boulder

    Description Design for Interactive Learning Resources

    Skills you'll gain: Web Content Accessibility Guidelines, Education Software and Technology, Peer Review, Design Reviews, Interactive Design, User Interface (UI), Interaction Design, Usability, Software Design Patterns, Technical Design, Experience Design, Usability Testing, Technical Documentation, Design Strategies, Technical Writing, Simulations

    Beginner · Course · 1 - 3 Months

  • Status: New
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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, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Statistical Analysis, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Infosec

    Python for Cybersecurity

    Skills you'll gain: MITRE ATT&CK Framework, Cyber Threat Hunting, Threat Detection, Endpoint Detection and Response, Cybersecurity, Network Security, Cyber Security Strategy, System Monitoring, Cyber Operations, Threat Management, Continuous Monitoring, Cyber Threat Intelligence, Exploitation techniques, Data Persistence, Scripting, Network Monitoring, Persistence, Python Programming, Data Access, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
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    544 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Excel for Beginners: Beginner Functions

    Skills you'll gain: Spreadsheet Software, Microsoft Excel, Computer Literacy, Microsoft Office

    4.5
    Rating, 4.5 out of 5 stars
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    81 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Model Evaluation, AI Personalization, Machine Learning, Regression Analysis, Deep Learning, Predictive Modeling, Supervised Learning, Feature Engineering, Data Preprocessing, Image Analysis, Python Programming, Unsupervised Learning, Natural Language Processing, Text Mining, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Peking University

    Chinese for HSK 2

    Skills you'll gain: Language Learning, Language Competency, Vocabulary, Grammar, Oral Comprehension

    4.6
    Rating, 4.6 out of 5 stars
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    926 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Pittsburgh

    Clinical Terminology for International and U.S. Students

    Skills you'll gain: Diagnostic Tests, Laboratory Testing, Medical Terminology, Pathology, Clinical Experience, Medication Administration, Clinical Practices, Medical Prescription, Patient Communication, Emergency and Intensive Care, Vital Signs, Medical History Documentation, Anatomy, Physiology, English Language

    4.8
    Rating, 4.8 out of 5 stars
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    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Using BigQuery Machine Learning for inference

    Skills you'll gain: Data Analysis, Analytics, Big Data, Applied Machine Learning, Machine Learning, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Financial Analysis - Skills for Success

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Variance Analysis, Financial Analysis, Income Statement, Balance Sheet, Performance Measurement, Management Accounting, Return On Investment, Revenue Forecasting, Financial Management, Profit and Loss (P&L) Management, Cost Management, Financial Data, Budgeting, Finance, Accounting, Cash Flows

    4.7
    Rating, 4.7 out of 5 stars
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    478 reviews

    Beginner · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular foundations of teaching for learning: planning for teaching and learning courses

  • Statistical Learning for Engineering Part 2: Northeastern University
  • Supply Chain Planning: University of California, Irvine
  • Description Design for Interactive Learning Resources: University of Colorado Boulder
  • Statistical Learning for Engineering Part 1: Northeastern University
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Python for Cybersecurity: Infosec
  • Excel for Beginners: Beginner Functions: Coursera
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Chinese for HSK 2: Peking University
  • Clinical Terminology for International and U.S. Students: University of Pittsburgh

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