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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

    • C

      Coursera Project Network

      Diabetes Disease Detection with XG-Boost and Neural Networks

      Skills you'll gain: Artificial Neural Networks, Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Codio

      Software Security for Web Applications

      Skills you'll gain: Application Security, Open Web Application Security Project (OWASP), OAuth, Data Validation, Authentications, Security Testing, Secure Coding, Identity and Access Management, Web Applications, Authorization (Computing), Cyber Attacks, Distributed Denial-Of-Service (DDoS) Attacks, Server Side, Vulnerability Assessments

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      ML Algorithms

      Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Text Mining, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Michigan State University

      Game Design and Development 4: 3D Platformer

      Skills you'll gain: Unity Engine, Game Design, Video Game Development, C# (Programming Language), Animation and Game Design, Conceptual Design, Microsoft Visual Studio, Computer Programming, Social Studies, Ideation, Socioeconomics, Business Ethics, Peer Review

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Capstone Project: Applying Business Analysis Skills

      Skills you'll gain: Risk Mitigation, Business Process Modeling, Risk Analysis, Stakeholder Management, Process Mapping, Risk Management, Work Breakdown Structure, Stakeholder Engagement, Scope Management, Business Requirements, Presentations, Requirements Elicitation, Business Analysis, Looker (Software), Requirements Analysis, Project Management, Data Analysis Software, Operational Analysis, Dashboard, IBM Cognos Analytics

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Rochester

      Community Engagement in Research and Population Health

      Skills you'll gain: Health Disparities, Health Equity, Community Health, Public Health, Health Systems, Health Policy, Community Outreach, Data Collection, Research, Program Evaluation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Connect an App to a Cloud SQL for PostgreSQL Instance

      Skills you'll gain: Application Deployment, Kubernetes, Cloud Applications, Google Cloud Platform, Cloud Management, Databases, Containerization, Data Access, PostgreSQL, SQL

      5
      Rating, 5 out of 5 stars
      ·
      12 reviews

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Advanced Data Analysis with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Data Validation, Data Analysis, Data-Driven Decision-Making, AI Personalization, Analytical Skills, Technical Communication, Data Transformation, Business Intelligence, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 2

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Mathematical Theory & Analysis, Simulations, Statistical Methods, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • S

      Starweaver

      Strategic Public Relations Planning

      Skills you'll gain: Target Audience, Public Relations, Strategic Communication, Corporate Communications, Crisis Management, Marketing and Public Relations, Media Relations, Persuasive Communication, Marketing Effectiveness, Marketing Budgets, Persona Development, Campaign Management, Social Media, Stakeholder Management, Content Strategy, Business Technologies, Technology Strategies, Generative AI Agents, Ethical Standards And Conduct, Goal Setting

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Follow a Machine Learning Workflow

      Skills you'll gain: Data Analysis, Data Collection, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Modeling, Solution Delivery, Application Deployment, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Introducción a la mecánica de suelos

      Skills you'll gain: Structural Analysis, Civil Engineering, Engineering Analysis, Engineering, Mechanics, Engineering Calculations, Hydraulics, Environmental Engineering, Laboratory Testing, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

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

    • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera Project Network
    • Software Security for Web Applications: Codio
    • ML Algorithms: Whizlabs
    • Game Design and Development 4: 3D Platformer: Michigan State University
    • Capstone Project: Applying Business Analysis Skills : IBM
    • Community Engagement in Research and Population Health: University of Rochester
    • Connect an App to a Cloud SQL for PostgreSQL Instance: Google Cloud
    • Advanced Data Analysis with ChatGPT: Coursera Instructor Network
    • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
    • Strategic Public Relations Planning: Starweaver

    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)

    Frequently Asked Questions about Data Engineering

    Top courses include the Data Engineering Foundations from IBM, Introduction to Data Engineering with DeepLearning.AI, and Data Engineering, Big Data, and Machine Learning on GCP from Google Cloud. These programs teach how to design, build, and manage data pipelines using modern tools and cloud platforms.‎

    Yes. Many data engineering courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to build and manage data processing systems, work with data warehouses and data lakes, use tools like SQL, Apache Spark, and Airflow, and understand how to design reliable and scalable data pipelines.‎

    Not necessarily. Many beginner-friendly courses start with the fundamentals and explain data engineering concepts clearly. However, some familiarity with programming and data analysis can be helpful as you progress to more advanced topics.‎

    Yes. Data engineering is a fast-growing field with high demand in tech, finance, healthcare, and many other industries. Coursera’s data engineering courses can help you build job-ready skills, prepare for certification exams, and earn certificates that showcase your expertise to employers.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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