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Data Engineering Courses

Data engineering courses can help you learn data modeling, ETL (extract, transform, load) processes, and data warehousing techniques. You can build skills in data pipeline construction, database management, and ensuring data quality and integrity. Many courses introduce tools like Apache Spark, Hadoop, and SQL, that support processing large datasets and optimizing data workflows. You’ll also explore cloud platforms such as AWS and Azure, which facilitate scalable data solutions and enhance your ability to manage data in various environments.


Popular Data Engineering Courses and Certifications


  • U

    University of Colorado Boulder

    Semiconductor Devices

    Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Systems, Electronic Components, Materials science, Electronic Hardware, Electronics, Electrical and Computer Engineering, Physics, Electronics Engineering, Applied Mathematics, Mathematical Modeling

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    617 reviews

    Advanced · Specialization · 1 - 3 Months

  • C

    Coursera

    Predict and Validate Regression Models in R

    Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Advanced Analytics, R Programming, Statistical Methods, Data Validation, Verification And Validation, Plot (Graphics), Exploratory Data Analysis, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Virginia

    How Things Work: An Introduction to Physics

    Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning with R

    Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Keras (Neural Network Library), Unsupervised Learning, Apache Hadoop, Data Preprocessing, Data Science, Machine Learning, Tensorflow, Data Mining, Tidyverse (R Package), Regression Analysis, Data Analysis, Bayesian Network, Logistic Regression

    Intermediate · Course · 3 - 6 Months

  • 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
    ·
    5.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimizing and Governing AI Systems

    Skills you'll gain: Responsible AI, Risking, Data Ethics, Model Deployment, MLOps (Machine Learning Operations), AI Enablement, AI Product Strategy, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Understand RAG Basics

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, Generative AI, Embeddings, Context Management, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Advanced RAG Patterns

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, AI Workflows, Prompt Engineering, Data-Driven Decision-Making, Generative AI, Data Validation, Model Evaluation, Verification And Validation, A/B Testing, MLOps (Machine Learning Operations), Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Toronto

    Plant Bioinformatic Methods

    Skills you'll gain: Bioinformatics, Network Analysis, Molecular Biology, Biostatistics, Biotechnology, Analysis, Informatics, Data Visualization Software, Data Analysis, Data Synthesis, Life Sciences, Statistical Methods, Data Mining, Cell Biology, Exploratory Data Analysis, Technical Communication, Data Processing, Structural Analysis, Databases, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Balance and Analyze Image Segmentation

    Skills you'll gain: Failure Analysis, Applied Machine Learning, Spatial Data Analysis, Predictive Modeling, Statistical Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Semiconductor Devices: University of Colorado Boulder
  • Predict and Validate Regression Models in R: Coursera
  • How Things Work: An Introduction to Physics: University of Virginia
  • Machine Learning with R: Packt
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Optimizing and Governing AI Systems: Coursera
  • Understand RAG Basics: Coursera
  • Advanced RAG Patterns: Coursera
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Plant Bioinformatic Methods: University of Toronto

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