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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

    Design and Interpretation of Clinical Trials

    Skills you'll gain: Clinical Trials, Clinical Research Ethics, Clinical Research, Research Design, Scientific Methods, Informed Consent, Drug Development, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Decision Tree Learning, Supervised Learning, Data Preprocessing, Probability & Statistics, Model Evaluation, Statistics, SAS (Software), Machine Learning Software, Predictive Modeling, Classification And Regression Tree (CART), Workflow Management, Data Analysis, Random Forest Algorithm, Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Artificial Intelligence, Model Evaluation, Machine Learning, Supervised Learning, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
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    50K reviews

    Beginner · Course · 1 - 4 Weeks

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    I

    Imperial College London

    Creative Thinking: Techniques and Tools for Success

    Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
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    5.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics

    3.5
    Rating, 3.5 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Assessment for Data Analysis and Visualization Foundations

    Skills you'll gain: Data Analysis, Microsoft Excel, IBM Cognos Analytics, Dashboard, Data Mining, Exploratory Data Analysis, Spreadsheet Software, Data Visualization Software, Pivot Tables And Charts, Data Collection, Data Cleansing, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
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    328 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Data Cleansing, Pivot Tables And Charts, Data Analysis, Excel Formulas, Microsoft Excel, Data Wrangling, Spreadsheet Software, Data Science, Data Entry, Data Manipulation, Data Quality, Information Privacy, Google Sheets, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Digital Marketing

    Skills you'll gain: Responsible AI, Prompt Engineering, Prompt Patterns, Generative AI, Digital Advertising, Email Marketing, ChatGPT, Data Ethics, Digital Marketing, Search Engine Optimization, Marketing Automation, AI Personalization, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Web Analytics and SEO, Search Engine Marketing, Artificial Intelligence and Machine Learning (AI/ML)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Critical Thinking Skills for the Professional

    Skills you'll gain: Problem Solving, Brainstorming, Critical Thinking, Creative Thinking, Constructive Feedback, Decision Making, Analysis, Emotional Intelligence, Cognitive flexibility, Self-Awareness, Collaboration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    Tally Education and Distribution Services Private Limited

    Principles of Accounts Payable and Receivable Management

    Skills you'll gain: Accounts Payable and Receivable, Accounting Software, Bookkeeping, Budgeting, Inventory Management System, Order Management, Accounting, Inventory Control, Cost Management, Financial Reporting, Sales Support, Profit and Loss (P&L) Management, Financial Accounting

    4.6
    Rating, 4.6 out of 5 stars
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    69 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

  • Design and Interpretation of Clinical Trials: Johns Hopkins University
  • SAS Machine Learning Engineer: SAS
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Creative Thinking: Techniques and Tools for Success: Imperial College London
  • Machine Learning Algorithms: Sungkyunkwan University
  • Assessment for Data Analysis and Visualization Foundations: IBM
  • Excel Basics for Data Analysis: IBM
  • Generative AI for Digital Marketing: IBM
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Sample-based Learning Methods: University of Alberta

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