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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
    New
    Status: Free Trial
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    A

    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Data Storytelling, Dashboard, Database Design, Data Visualization, Business Intelligence, IBM Cognos Analytics, Descriptive Statistics, Extract, Transform, Load, Data Visualization Software, Business Analytics, IBM DB2, Tableau Software, Star Schema, Relational Databases, Interactive Data Visualization, Regression Analysis, Forecasting, Database Management Systems, Pivot Tables And Charts, MySQL

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

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

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Database systems

    Skills you'll gain: NoSQL, Data Warehousing, Relational Databases, Database Management, Extract, Transform, Load, SQL, Databases, Data Mining, Business Intelligence, Big Data, Database Architecture and Administration, Information Systems, Database Systems, MySQL, Predictive Analytics, Database Design, MongoDB, Data Modeling, Scalability, Database Management Systems

    4.3
    Rating, 4.3 out of 5 stars
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    694 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    E

    EDUCBA

    Master AI Skills: Analyze, Build & Deploy Systems

    Skills you'll gain: Computer Vision, Artificial Intelligence, Image Analysis, Natural Language Processing, Generative AI, Model Deployment, OpenAI, Amazon Bedrock, AI Workflows, AI Security, Text Mining, Robotics, Prompt Engineering, Deep Learning, Reinforcement Learning, Scalability

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master AI & AWS Cloud Skills: Analyze, Build, Deploy

    Skills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    B

    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

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis, Exploratory Data Analysis, Data Wrangling

    4.5
    Rating, 4.5 out of 5 stars
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    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    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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    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Predictive Modeling, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular Data Analysis courses

  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • IBM Business Intelligence (BI) Analyst: IBM
  • Probabilistic Graphical Models: Stanford University
  • Database systems: Universidad Nacional Autónoma de México
  • Master AI Skills: Analyze, Build & Deploy Systems: EDUCBA
  • Master AI & AWS Cloud Skills: Analyze, Build, Deploy: EDUCBA
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Transformers in Action: A Practical Approach to NLP and AI: Board Infinity
  • Practical Machine Learning: Johns Hopkins University

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