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    • Data Engineering

    Data Engineering Courses

    Data engineering courses can help you learn how to design, build, and maintain data systems and pipelines that support analytics, machine learning, and business intelligence.

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    Find the Best Data Engineering Course for Your Goals

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Introduction to Process Safety and Risk Analysis

      Skills you'll gain: Chemical Engineering, Failure Analysis, Process Engineering, Safety Assurance, Risk Analysis, Engineering Practices, Risk Management, Systems Analysis, Process Analysis, Safety and Security, Estimation, Reliability

      4.9
      Rating, 4.9 out of 5 stars
      ·
      151 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Markov Model, Supervised Learning, Large Language Modeling, Applied Machine Learning, Machine Learning Methods, Text Mining, Artificial Neural Networks, Dimensionality Reduction, Deep Learning, Regression Analysis, Feature Engineering, Algorithms, Bayesian Statistics, PyTorch (Machine Learning Library), Machine Learning Algorithms, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Data Science, Process Driven Development, Machine Learning, Health Informatics, Data Ethics, Natural Language Processing, Image Analysis, Healthcare Ethics, Big Data, Python Programming, Medical Imaging, Graph Theory, Network Analysis, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Regression Analysis, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Python Programming, Data Pipelines, Dimensionality Reduction, Random Forest Algorithm, Feature Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Introducción a Data Science: Programación Estadística con R

      Skills you'll gain: Ggplot2, R Programming, Statistical Programming, Statistical Visualization, Software Installation, Graphing, Data Science, Scripting Languages, Scripting, Exploratory Data Analysis, Data Manipulation, Debugging, Simulations, Cross Platform Development, Computing Platforms, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Scalability, Reinforcement Learning, Natural Language Processing, Machine Learning, Performance Tuning, Python Programming, Software Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Descriptive Statistics, Data Visualization, Statistical Methods, Probability Distribution, Probability & Statistics, Statistics, Regression Analysis, Plot (Graphics), Matplotlib, Data Analysis, Data Science, Pandas (Python Package), Probability, Correlation Analysis, Jupyter, Histogram

      4.5
      Rating, 4.5 out of 5 stars
      ·
      442 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Introduction to AI

      Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Automation, Human Machine Interfaces, Innovation, Critical Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft 365 Fundamentals

      Skills you'll gain: Microsoft PowerPoint, Microsoft Word, Microsoft Excel, Spreadsheet Software, Collaborative Software, Excel Formulas, Data Visualization, Productivity Software, Data Import/Export, Data Analysis Software, Document Management, Microsoft Windows, Public Speaking, Data Management, Data Sharing, File Management, End User Training and Support, Web Content Accessibility Guidelines, Organizational Skills, Content Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Applied DevOps Engineering

      Skills you'll gain: CI/CD, Serverless Computing, Open Web Application Security Project (OWASP), Agile Software Development, Test Driven Development (TDD), OpenShift, Agile Methodology, DevOps, Agile Project Management, Microservices, Containerization, Test Case, Devops Tools, Continuous Integration, Kubernetes, Sprint Planning, DevSecOps, System Monitoring, Grafana, Infrastructure as Code (IaC)

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.4K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Project Execution: Running the Project

      Skills you'll gain: Project Closure, Project Management Life Cycle, Project Controls, Project Management, Project Performance, Quality Management, Team Leadership, Project Documentation, Sprint Retrospectives, Continuous Improvement Process, Risk Management, Quality Assurance and Control, Stakeholder Communications, Data-Driven Decision-Making, Strategic Thinking

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Health Information Literacy for Data Analytics

      Skills you'll gain: Data Validation, Data Quality, Data Governance, Extract, Transform, Load, Data Dictionary, Health Information Management, Data Modeling, Health Informatics, Data Management, Data Cleansing, Data Integration, Metadata Management, Analytical Skills, Medical Records, Health Care, Analytics, Analysis, Health Systems, Data Integrity, Data Warehousing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      276 reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to data engineering

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    1…303132…808

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

    • Introduction to Process Safety and Risk Analysis: University of California, Davis
    • Natural Language Processing: DeepLearning.AI
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • Machine Learning with Python: IBM
    • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
    • Generative AI with Large Language Models: DeepLearning.AI
    • Statistics for Data Science with Python: IBM
    • Introduction to AI: Google
    • Microsoft 365 Fundamentals: Microsoft
    • IBM Applied DevOps Engineering: IBM

    Why Learn Data Engineering?

    Data engineering focuses on preparing and structuring data so it can be accessed and analyzed efficiently. It involves working with databases, cloud platforms, ETL processes, and big data tools. Learning data engineering can help you manage complex data workflows, ensure data quality, and support data-driven decision-making in tech-driven organizations.

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    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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