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  • Data Processing

Results for "data processing"


  • Status: Free Trial
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    I

    IBM

    Statistical Analysis Fundamentals using Excel

    Skills you'll gain: Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Forecasting, Probability Distribution, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Predictive Modeling, Probability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    144 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analytical Skills, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Neurology, Statistical Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    249 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Responsible Generative AI

    Skills you'll gain: Responsible AI, Generative AI, Governance, Data Governance, Data Ethics, Compliance Management, Consumer Behaviour, AI Enablement, Social Impact, Business Risk Management, Business Operations, AI Product Strategy, Artificial Intelligence, Risk Analysis, Automation, Stakeholder Management, Operations, Human Resources, Leadership and Management, Risk Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    344 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    489 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    690 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Information Technology (IT) and Cloud Fundamentals

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Generative AI, Cloud Security, Cloud Infrastructure, Cybersecurity, Cloud Platforms, Cloud Computing, Data Storage, Peripheral Devices, Virtualization, Computer Hardware, Cyber Attacks, System Configuration, Artificial Intelligence, OSI Models, General Networking, Data Security, Test Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
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    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Karlsruhe Institute of Technology

    Machine Translation

    Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Language Interpretation, Translation, and Studies, Embeddings, Multilingualism, Vocabulary

    4.5
    Rating, 4.5 out of 5 stars
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    181 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Transfer Learning, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Build RAG Applications: Get Started

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Embeddings, Vector Databases, Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    135 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Statistical Analysis Fundamentals using Excel: IBM
  • Principles of fMRI 2: Johns Hopkins University
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Responsible Generative AI: University of Michigan
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • AI Capstone Project with Deep Learning : IBM
  • Information Technology (IT) and Cloud Fundamentals: IBM
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Machine Translation: Karlsruhe Institute of Technology

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