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Datenanalyse Kurse

Datenanalyse-Kurse können Ihnen helfen, Datensätze zu untersuchen, Muster zu erkennen und Ergebnisse verständlich darzustellen. Sie können Fähigkeiten in Statistik, Visualisierung, Datenaufbereitung und grundlegenden Analyseverfahren aufbauen. Viele Kurse führen in Tabellenkalkulationen, Visualisierungstools und Analyse-Workflows ein.


Beliebte Datenanalyse Kurse & Zertifikate


  • Status: New
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    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Model Evaluation, Embeddings, Text Mining, Artificial Intelligence, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Machine Learning, Unsupervised Learning, Dimensionality Reduction

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
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    24 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    AI Materials

    Skills you'll gain: AI Enablement, Artificial Intelligence, Materials science, Artificial Neural Networks, Image Analysis, Computer Vision, Manufacturing Processes, Machine Learning, Process Control

    4.7
    Rating, 4.7 out of 5 stars
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    50 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    E

    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of California, Davis

    Writing with Generative AI

    Skills you'll gain: Large Language Modeling, Generative AI, Writing, Data Ethics, Responsible AI, Artificial Intelligence, Technical Writing, Model Evaluation, Machine Learning, Information Privacy

    3.9
    Rating, 3.9 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Learning TensorFlow: the Hello World of Machine Learning

    Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Supervised Learning, Deep Learning, Cloud Computing, Development Environment

    4
    Rating, 4 out of 5 stars
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    20 reviews

    Beginner · Project · Less Than 2 Hours

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    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    PyTorch Ultimate 2024 - From Basics to Cutting-Edge

    Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
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    62 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

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    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Classification Algorithms, Statistical Methods, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
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    91 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Applied Natural Language Processing in Engineering Part 1: Northeastern University
  • Introduction to Machine Learning with Python: Arizona State University
  • AI Materials: Korea Advanced Institute of Science and Technology(KAIST)
  • Neural Models and Machine Translation: Edureka
  • Statistical Learning for Engineering Part 2: Northeastern University
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Writing with Generative AI: University of California, Davis
  • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
  • Introduction to Linear Regression Training : Simplilearn
  • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt

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