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  • Data Analytics Methods

Results for "data analytics methods"


  • Status: New
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    A

    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    C

    Coursera

    LangGraph Framework

    Skills you'll gain: LangGraph, AI Orchestration, LangChain, LLM Application, Agentic Workflows, Generative AI Agents, MLOps (Machine Learning Operations), Context Management, Distributed Computing, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Doing More with SAS Programming

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Wrangling, Data Processing, Pivot Tables And Charts, Data Integration, Statistical Programming, Data Analysis, Data Presentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    943 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google UX Design

    Skills you'll gain: Storyboarding, Wireframing, User Experience Design, User Research, UI/UX Research, Usability Testing, Presentations, Prototyping, Information Architecture, Figma (Design Software), Design Thinking, User Story, User Centered Design, Mobile Development, Design Reviews, Data Ethics, Mockups, Usability, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Transfer Learning, Convolutional Neural Networks, IBM Cloud, Cloud Applications, Application Development, Cloud Deployment, Jupyter, Python Programming, Deep Learning, Classification Algorithms, Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
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    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    F

    Fractal Analytics

    Quantum Computing For Everyone - An Introduction

    Skills you'll gain: Cloud Computing, Information Technology, Cybersecurity, Linear Algebra, Critical Thinking, Simulations

    4.2
    Rating, 4.2 out of 5 stars
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    104 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
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    141 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Financial Market, Financial Trading, Regression Analysis, Google Cloud Platform, Model Evaluation, Financial Forecasting, Reinforcement Learning, Market Data, Recurrent Neural Networks (RNNs), Securities Trading, Time Series Analysis and Forecasting, Tensorflow, Market Trend, Machine Learning, Technical Analysis, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • LangGraph Framework: Coursera
  • Doing More with SAS Programming: SAS
  • Google UX Design: Google
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Introduction to Computer Vision and Image Processing: IBM
  • Quantum Computing For Everyone - An Introduction : Fractal Analytics
  • An Intuitive Introduction to Probability: University of Zurich

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