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  • Interpreting Data Visualizations

Results for "interpreting data visualizations"


  • C

    Coursera

    Build your first Search Engine using AWS Kendra

    Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Amazon S3, Information Architecture, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    26 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Web Analytics & Reporting

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Effectiveness, Marketing Analytics, Content Performance Analysis, Web Analytics and SEO, Looker (Software), Google Ads, Data Visualization, Data Visualization Software, Marketing Automation, Customer Insights, Campaign Management, Data-Driven Decision-Making, Business Reporting, Performance Reporting, Trend Analysis, Data Validation, Statistical Analysis, Key Performance Indicators (KPIs)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    GenAI Summarization with Langchain: Summarize Text Documents

    Skills you'll gain: LangChain, LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, OpenAI, Application Development, Web Applications, Python Programming, Web Development, User Interface (UI)

    3.4
    Rating, 3.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Création de chaînes en Python

    Skills you'll gain: Python Programming, Scripting, Scripting Languages, Programming Principles, Computer Programming, Data Access, Data Science

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Model Deployment, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Model Evaluation, Applied Machine Learning, Social Impact, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, AI Workflows, Scalability, AI Orchestration, DevOps, Model Evaluation, Continuous Monitoring, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    هيكلة مشاريع التعلم الآلي

    Skills you'll gain: Technical Management, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Supervised Learning, Model Evaluation, Performance Tuning, Test Data

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Cybersecurity & Privacy for Leaders

    Skills you'll gain: Prompt Engineering, AI Security, ChatGPT, Prompt Patterns, Generative AI, Crisis Management, LLM Application, Productivity, Incident Response, Responsible AI, OpenAI, AI Personalization, AI Enablement, Data Ethics, Artificial Intelligence, Large Language Modeling, Business Ethics, Information Privacy, Threat Modeling, Cybersecurity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Structurer des projets d’apprentissage automatique

    Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Data Science, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidades Anáhuac

    Ciencia de Datos e IA : De los Fundamentos a la Práctica

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Databases, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Convolutional Neural Networks

    3
    Rating, 3 out of 5 stars
    ·
    8 reviews

    Intermediate · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular interpreting data visualizations courses

  • Build your first Search Engine using AWS Kendra: Coursera
  • Web Analytics & Reporting: Coursera
  • GenAI Summarization with Langchain: Summarize Text Documents: Coursera
  • Création de chaînes en Python: Coursera
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • هيكلة مشاريع التعلم الآلي: DeepLearning.AI
  • Generative AI Cybersecurity & Privacy for Leaders: Vanderbilt University
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn

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