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  • Data Visualization Fundamentals

Results for "data visualization fundamentals"


  • Status: New
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    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

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    Coursera

    Building AI Agents for Complex Tasks

    Skills you'll gain: AI Orchestration, AI Workflows, LLM Application, Agentic systems, Tool Calling, LangChain, Artificial Intelligence, Prompt Engineering, Model Evaluation, Context Management, Scenario Testing, Performance Testing, Development Testing, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Good

    Skills you'll gain: Model Evaluation, Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Mitigation, Applied Machine Learning, Text Mining, Environmental Monitoring, Convolutional Neural Networks, Unstructured Data, Information Privacy, Computer Vision, Supervised Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    608 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Model Evaluation, Artificial Neural Networks, Feature Engineering, Machine Learning, Python Programming, Data Transformation

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    MCP - Model Content Protocol

    Skills you'll gain: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    35 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    818 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
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    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

    Skills you'll gain: Data Analysis, Statistical Analysis, Data Visualization, Predictive Modeling, Applied Mathematics

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

Searches related to data visualization fundamentals

data visualization fundamentals in python
data visualization: fundamentals to interactive storytelling
fundamentals of data visualization
fundamentals of vmware data center virtualization concepts
1…198199200…834

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

  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Building AI Agents for Complex Tasks: Coursera
  • AI for Good: DeepLearning.AI
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • MCP - Model Content Protocol: Coursera
  • Using probability distributions for real world problems in R: Coursera
  • Supervised Machine Learning: Regression: IBM
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • Reinforcement Learning: University of Alberta

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