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Results for "interactive data visualization"


  • Status: New
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    E

    EDUCBA

    Analyze and Predict Shipping Time Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Customer Demand Planning, Inventory Management System, Logistics, Forecasting, Exploratory Data Analysis, Supply Chain, Data Quality, Predictive Modeling, Applied Machine Learning, Correlation Analysis, Transportation Operations, Statistical Analysis, Data Analysis, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Analyze Users & Optimize Product Retention

    Skills you'll gain: Data Storytelling, Customer Analysis, Customer Retention, Marketing Analytics, Customer Insights, Strategic Decision-Making, Product Strategy, Data Analysis, Product Management, Data-Driven Decision-Making, Advanced Analytics, Unsupervised Learning, Technical Documentation, Performance Measurement, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Process Images & Extract Motion Features

    Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    AI Product Management

    Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    1.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Applied Object Detection & Segmentation

    Skills you'll gain: Model Evaluation, Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Performance Analysis, Data Preprocessing, Image Analysis, Computer Vision, Data Quality, Data Transformation, Data Cleansing, Model Deployment, Applied Machine Learning, Failure Analysis, Data Pipelines, Tensorflow, Deep Learning, PyTorch (Machine Learning Library), Docker (Software), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Scikit Learn (Machine Learning Library), Data Preprocessing

    4
    Rating, 4 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Minnesota

    Interprofessional Healthcare Informatics

    Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Clinical Informatics, Electronic Medical Record, Health Care, Health Information Management, Community Health, Healthcare Ethics, Health Systems, Dental Informatics, Public Health, Data Ethics, Nursing, Data Visualization, Graph Theory

    4.4
    Rating, 4.4 out of 5 stars
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    314 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    L

    Logical Operations

    Crystal Reports: Report Fundamentals

    Skills you'll gain: Business Reporting, Microsoft Access, Report Writing, Microsoft Excel, Data Presentation, Business Intelligence Software, SAP Applications, Data Analysis Software, Business Intelligence, Data Analysis, Microsoft Office

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular interactive data visualization courses

  • Analyze and Predict Shipping Time Using Machine Learning: EDUCBA
  • Analyze Users & Optimize Product Retention: Coursera
  • Process Images & Extract Motion Features: Coursera
  • AI Product Management: Duke University
  • Applied Object Detection & Segmentation: Coursera
  • Balance and Analyze Image Segmentation: Coursera
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Interprofessional Healthcare Informatics : University of Minnesota
  • Probability and Statistics: To p or not to p?: University of London

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