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Data Warehouse Courses

Data Warehouse courses can help you learn data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques. You can build skills in SQL querying, data governance, and performance tuning for large datasets. Many courses introduce tools like Amazon Redshift, Google BigQuery, and Snowflake, showcasing how these platforms facilitate efficient data storage and retrieval, enabling businesses to make informed decisions based on comprehensive data analysis.


Popular Data Warehouse Courses and Certifications


  • Status: New
    New
    Status: Free Trial
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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Retrieval-Augmented Generation, Software Development Life Cycle, Large Language Modeling, LLM Application, Software Architecture, Professional Networking, Responsible AI, Computer Vision, Vibe coding, Cascading Style Sheets (CSS), Software Design, Generative AI, Jupyter, IBM Cloud, Flask (Web Framework), Python Programming, Machine Learning, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    80K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Coursera

    Agentic AI Content for Practitioners: Marketing

    Skills you'll gain: Prompt Engineering, Marketing Automation, AI Personalization, Marketing Effectiveness, Marketing, Content Marketing, Marketing Strategies, MarTech, Advertising Campaigns, Agentic Workflows, AI Enablement, Marketing Analytics, Customer Relationship Management, Data-Driven Decision-Making, Social Media Management, Customer experience improvement

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Creative Designing in Power BI

    Skills you'll gain: Data Storytelling, Power BI, Data Presentation, Dashboard, Data Visualization Software, Data Visualization, Report Writing, Multimedia, Data Analysis, Creative Design, Management Reporting, Data Mapping, Data Security, Key Performance Indicators (KPIs), Target Audience

    4.5
    Rating, 4.5 out of 5 stars
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    346 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Working with BigQuery

    Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Data Storytelling, Data Import/Export, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics, Ad Hoc Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    269 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Coursera

    Copilot Studio

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, AI Workflows, AI Enablement, Generative AI Agents, Model Deployment, No-Code Development, Performance Tuning, Business Logic, Application Deployment, Scalability, Data Integration, User Feedback

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Agentic AI Content for Practitioners: Software

    Skills you'll gain: LangChain, Agentic Workflows, CI/CD, LangGraph, AI Orchestration, AI Workflows, Model Deployment, Continuous Integration, DevOps, Continuous Deployment, Generative AI Agents, Application Deployment, AI Enablement, Cloud Deployment, Test Automation, AI Product Strategy, Program Development, Microsoft Copilot, Maintainability, Agentic systems

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Image Analysis, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Regression Analysis, Supervised Learning, Classification Algorithms, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Analyze, and AI Feedback

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics

    Intermediate · Course · 1 - 4 Weeks

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

  • Fine-Tune & Optimize Generative AI Models: Coursera
  • IBM AI Developer: IBM
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Agentic AI Content for Practitioners: Marketing: Coursera
  • Creative Designing in Power BI : Microsoft
  • Working with BigQuery: Coursera
  • Copilot Studio: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Agentic AI Content for Practitioners: Software: Coursera

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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