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  • 教学方法

Results for "教学方法"


  • Status: Free Trial
    Free Trial
    I
    U
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    116K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Program Managers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Program Management, Risk Management, Stakeholder Engagement, Project Management Institute (PMI) Methodology, Stakeholder Analysis, Strategic Decision-Making, Business Risk Management, Stakeholder Management, Strategic Planning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Governance, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone (すべての人のためのAIリテラシー講座)

    Skills you'll gain: AI Product Strategy, Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Technical Management, Computer Vision, Machine Learning, Responsible AI, Project Implementation, Data Science

    4.8
    Rating, 4.8 out of 5 stars
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    301 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    商务基础 (中文版)

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Operations Management, Return On Investment, Financial Accounting, Financial Reporting, Process Analysis, Income Statement, Operational Efficiency, Business Operations, Capital Budgeting, Marketing, Cash Flows, Finance, Financial Acumen, Production Management, Strategic Marketing, Marketing Strategies, Financial Modeling, Business Planning

    4.8
    Rating, 4.8 out of 5 stars
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    341 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for UI UX Design

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Design Research, Persona (User Experience), User Interface and User Experience (UI/UX) Design, Experience Design, AI Product Strategy, User Interface (UI) Design, Brainstorming, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Human Centered Design, User Story, Wireframing, Deep Learning, Ideation, Machine Learning

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

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Data Visualization Software, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Deep Learning, SQL, Data Analysis, Machine Learning

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
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    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    G

    Google Cloud

    生成式 AI:剖析基本概念

    Skills you'll gain: Responsible AI, Generative AI, Google Cloud Platform, Large Language Modeling, Data Modeling, Data Ethics, Unstructured Data, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Git (Version Control System), Dimensionality Reduction, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Product Strategy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Deep Learning, Data Visualization Software, Machine Learning, Natural Language Processing

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

    Intermediate · Specialization · 1 - 3 Months

Searches related to 教学方法

生物信息学: 导论与方法
bioinformatics: introduction and methods 生物信息学: 导论与方法
1…131415…113

In summary, here are 10 of our most popular 教学方法 courses

  • Data Science Foundations: IBM
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Generative AI for Program Managers: IBM
  • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
  • 商务基础 (中文版): University of Pennsylvania
  • Generative AI for UI UX Design: IBM
  • Generative AI for Business Intelligence (BI) Analysts: IBM
  • Data Science: Johns Hopkins University
  • 生成式 AI:剖析基本概念: Google Cloud
  • Introduction to AI: Google

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