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  • Data Engineering

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


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    F

    Fractal Analytics

    GenAI for Everyone

    Skills you'll gain: Generative AI, ChatGPT, Responsible AI, Artificial Intelligence, AI Personalization, Operational Efficiency, Human Centered Design, Ethical Standards And Conduct, Application Development, Natural Language Processing, Strategic Thinking, Problem Solving, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
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    450 reviews

    Beginner · Course · 1 - 4 Weeks

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    M

    MathWorks

    Modeling and Simulation with Simulink

    Skills you'll gain: Simulation and Simulation Software, Control Systems, Model Based Systems Engineering, Engineering Design Process, Mathematical Modeling, Engineering Analysis, Systems Analysis, Systems Engineering, Test Case, Systems Design, Performance Tuning, Matlab

    4.8
    Rating, 4.8 out of 5 stars
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    46 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Basics of Air Conditioning & Heat Load Calculation

    Skills you'll gain: HVAC, Building Services Engineering, Thermal Management, Mechanical Engineering, Engineering Calculations, Energy and Utilities, Estimation, Environmental Issue

    4.4
    Rating, 4.4 out of 5 stars
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    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Digital Signal Processing 1: Basic Concepts and Algorithms

    Skills you'll gain: Digital Communications, Communication Systems, Electrical and Computer Engineering, Programming Principles, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Mathematical Modeling, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    632 reviews

    Intermediate · Course · 1 - 4 Weeks

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Introduction to Advanced Vibrations

    Skills you'll gain: Vibrations, Engineering Analysis, Mechanics, Structural Analysis, Mechanical Engineering, Engineering, Differential Equations, Mathematical Modeling

    4.8
    Rating, 4.8 out of 5 stars
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    73 reviews

    Intermediate · Course · 1 - 3 Months

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    M

    MathWorks

    Predictive Modeling and Machine Learning with MATLAB

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Feature Engineering, Predictive Analytics, Statistical Modeling, Data Processing, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
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    119 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    L

    LearnQuest

    Deployment and Impact of AI Agents

    Skills you'll gain: Technical Communication, Generative AI Agents, Data Integration, Business Transformation, Application Deployment, Digital Transformation, Continuous Monitoring, Leadership, Agentic systems, Business Leadership, Compliance Management, Continuous Deployment, Stakeholder Communications, Regulatory Compliance, Dashboard, Cloud-Native Computing, CI/CD, Stakeholder Management, Artificial Intelligence and Machine Learning (AI/ML), System Monitoring

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
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    86 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics 101 - Forces and Kinematics

    Skills you'll gain: Mechanics, Problem Solving, Physics, Engineering Calculations, Mathematical Modeling, Algebra, Calculus, Physical Science, Applied Mathematics, Mechanical Engineering, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
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    192 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    S

    Siemens

    Expedite – Skills for Industry Microcredential

    Skills you'll gain: Product Lifecycle Management, Sustainable Design, Digital Transformation, Project Planning, Sustainable Engineering, Business Acumen, Electronic Hardware, Electronic Systems, Engineering Design Process, Cultural Sensitivity, Data Ethics, Project Management, Internet Of Things, Collaboration, Artificial Intelligence, Business Communication, Teamwork, Risk Management, Leadership, Generative AI

    4.8
    Rating, 4.8 out of 5 stars
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    11 reviews

    Beginner · Specialization · 3 - 6 Months

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    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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

  • GenAI for Everyone: Fractal Analytics
  • Modeling and Simulation with Simulink : MathWorks
  • Basics of Air Conditioning & Heat Load Calculation: L&T EduTech
  • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
  • Introduction to Advanced Vibrations: Korea Advanced Institute of Science and Technology(KAIST)
  • Predictive Modeling and Machine Learning with MATLAB: MathWorks
  • Deployment and Impact of AI Agents: LearnQuest
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Physics 101 - Forces and Kinematics : Rice University
  • Expedite – Skills for Industry Microcredential: Siemens

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Programming Language (34)
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Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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