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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"


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    J

    Johns Hopkins University

    Training and Learning Programs for Volunteer Community Health Workers

    Skills you'll gain: Training Programs, Education and Training, Smart Goals, Community Health, Train The Trainer, Patient Education And Counseling, Educational Materials, Health Education, Adult Education, Needs Assessment, Planning, Supervision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    90 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Graphing, General Mathematics, Computer Graphics, Data Literacy, Computer Science, Applied Mathematics, Algebra, Cryptography, Systems Of Measurement

    4.2
    Rating, 4.2 out of 5 stars
    ·
    268 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    Python for Finance: Investment Fundamentals & Data Analytics

    Skills you'll gain: Regression Analysis, Risk Analysis, Portfolio Management, Financial Modeling, Statistical Analysis, Data Visualization, Investment Management, Investments, Simulations, Financial Market, Python Programming, Matplotlib, Pandas (Python Package), Jupyter, NumPy, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: New
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    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Scikit Learn (Machine Learning Library)

    Intermediate · Course · 1 - 3 Months

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    K

    KodeKloud

    Python for the Absolute Beginner

    Skills you'll gain: Python Programming, Programming Principles, Data Structures, Debugging, Computer Programming, Scripting, Scripting Languages

    4.6
    Rating, 4.6 out of 5 stars
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    29 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Data Transformation, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, ChatGPT, AI Product Strategy, AI Security, Artificial Intelligence, Automation, Cloud Applications, Social Impact

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.8K reviews

    Beginner · Course · 1 - 4 Weeks

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    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Numerical Analysis, Engineering Calculations, Matlab, Mathematical Software, Differential Equations, Linear Algebra, Mathematical Modeling, Applied Mathematics, Estimation, Integral Calculus, Scripting, Computer Programming, Programming Principles, Algorithms, Plot (Graphics), Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    411 reviews

    Intermediate · Course · 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

  • Training and Learning Programs for Volunteer Community Health Workers: Johns Hopkins University
  • Mathematics for Computer Science: University of London
  • Data Prep for Machine Learning in Python: Corporate Finance Institute
  • Python for Finance: Investment Fundamentals & Data Analytics: Packt
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Python for the Absolute Beginner: KodeKloud
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Statistics You Need to Know for Machine Learning: SAS
  • Learning Deep Learning: Unit 1: Pearson
  • Matrix Calculus for Data Science & Machine Learning: Packt

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