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  • Data Visualization Fundamentals

Results for "data visualization fundamentals"


  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    First Steps in Python with Jupyter Notebooks

    Skills you'll gain: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Data Science, Generative AI, Development Environment, Computer Programming, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fred Hutchinson Cancer Center

    Developing AI Policy

    Skills you'll gain: Policy Development, Data Ethics, Responsible AI, Stakeholder Engagement, Intellectual Property, Compliance Management, Regulation and Legal Compliance, Legal Strategy, Artificial Intelligence, Governance, Generative AI, Education and Training, Data Science

    4.2
    Rating, 4.2 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Understanding and Applying Text Embeddings

    Skills you'll gain: Embeddings, LLM Application, Anomaly Detection, Generative AI, Google Cloud Platform, Natural Language Processing, Vector Databases, Semantic Web, Unsupervised Learning, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    67 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Supervised Text Classification for Marketing Analytics

    Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Machine Learning Algorithms, Transfer Learning, Text Mining, Model Evaluation, Data Manipulation, Marketing Analytics, Python Programming, Google Cloud Platform, Classification Algorithms, Artificial Neural Networks, Performance Metric

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Maryland, College Park

    Cómo combinar y analizar datos complejos

    Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Basic Inferential Statistics for Psychology

    Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Probability Distribution, Quantitative Research, Statistical Analysis, Statistical Software, Statistical Inference, Sampling (Statistics), Data Analysis, Analysis, Statistics, Probability, Analytical Skills, Regression Analysis, Psychology, Research Design, Research

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Github CoPilot for Beginners: Write Software With AI

    Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, UI Components, Prompt Engineering, Web Development Tools, Web Development, Generative AI, Javascript, Software Engineering, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    London Business School

    New Ways of Working in an AI World

    Skills you'll gain: AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Leadership Studies, Organizational Leadership, Responsible AI, Business Transformation, Data Strategy, Communication, Stakeholder Communications, Technology Strategies, Business Strategy, Business Ethics, Case Studies, Decision Making

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

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…256257258…834

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

  • Introduction to Deep Learning for Computer Vision: MathWorks
  • First Steps in Python with Jupyter Notebooks: Coursera
  • Developing AI Policy: Fred Hutchinson Cancer Center
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Understanding and Applying Text Embeddings: DeepLearning.AI
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
  • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
  • Cómo combinar y analizar datos complejos: University of Maryland, College Park
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • Basic Inferential Statistics for Psychology: American Psychological Association

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