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  • Reactjs Data Analytics

Results for "reactjs data analytics"


  • S

    Scrimba

    Build AI Apps with ChatGPT, Dall-E, and GPT-4

    Skills you'll gain: Prompt Engineering, OpenAI API, Application Deployment, ChatGPT, AI Security, Serverless Computing, Cloud Applications, Model Deployment, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Web Development Tools, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Use Generative AI as Your Thought Partner

    Skills you'll gain: Prompt Engineering, Responsible AI, AI Enablement, Generative AI, Strategic Thinking, Data Ethics, Artificial Intelligence, Workforce Development, Digital Transformation, Employee Engagement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI For Medical Treatment

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Model Evaluation, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Text Mining, Health Informatics, Medical Terminology, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: AI Skills
    AI Skills
    M

    Meta

    Meta Social Media Marketing

    Skills you'll gain: Social Media Management, Social Media, Social Media Marketing, Target Audience, Social Media Campaigns, Paid media, Social Media Strategy, Instagram, Content Creation, Marketing Effectiveness, Online Advertising, Persona Development, Marketing Analytics, Advertising Campaigns, Advertising, Content Performance Analysis, Marketing Materials, Presentations, Digital Marketing, Brand Management

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    828 reviews

    Intermediate · Course · 1 - 3 Months

  • N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

    3.7
    Rating, 3.7 out of 5 stars
    ·
    820 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Pontificia Universidad Católica de Chile

    Python para Ciencia de Datos

    Skills you'll gain: Data Visualization, Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Forecasting, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    71 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI Agents, Large Language Modeling, Generative AI, Hugging Face, Embeddings, PyTorch (Machine Learning Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    197 reviews

    Intermediate · Course · 1 - 4 Weeks

  • W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Data Collection, Statistics, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    659 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Natural Language Processing, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    217 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Working with BigQuery

    Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    271 reviews

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular reactjs data analytics courses

  • Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba
  • Use Generative AI as Your Thought Partner: Coursera
  • AI For Medical Treatment: DeepLearning.AI
  • Meta Social Media Marketing: Meta
  • Supervised Machine Learning: Regression: IBM
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile
  • Fundamentals of AI Agents Using RAG and LangChain: IBM
  • Regression Modeling in Practice: Wesleyan University
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota

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