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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: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Snowflake Data Engineering

      Skills you'll gain: Snowflake Schema, Data Pipelines, Data Engineering, Database Management, Data Transformation, Data Manipulation, Data Infrastructure, Data Warehousing, DevOps, Cloud Development, GitHub, Cloud Applications, CI/CD, Data Access, Data Integration, Data Quality, Extract, Transform, Load, Large Language Modeling, Role-Based Access Control (RBAC), Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      205 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Engineering

      Skills you'll gain: Extract, Transform, Load, Big Data, Data Architecture, Data Pipelines, SQL, Data Governance, Apache Hadoop, Data Warehousing, Apache Hive, Data Storage, Apache Spark, Data Security, Data Transformation, Relational Databases, Data Science, NoSQL

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, IBM Cognos Analytics, Dashboard, Data Visualization, Apache Spark, Apache Hadoop, SQL, Linux Commands, Database Administration, Web Scraping, Data Pipelines, Database Design, Extract, Transform, Load, Interviewing Skills, Generative AI, Jupyter, Python Programming, Data Science, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Foundations

      Skills you'll gain: SQL, Web Scraping, Extract, Transform, Load, Database Design, MySQL, Relational Databases, Database Systems, Data Transformation, Big Data, IBM DB2, Stored Procedure, Databases, Data Architecture, Database Management, Data Pipelines, Data Storage Technologies, Jupyter, PostgreSQL, Data Governance, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      57K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Data Engineering on AWS - Foundations

      Skills you'll gain: Infrastructure as Code (IaC), CI/CD, Cloud Engineering, Data Infrastructure, Amazon Web Services, Data Architecture, AWS CloudFormation, Serverless Computing, Data Pipelines, Data Warehousing, Amazon S3, Data Modeling, AWS Identity and Access Management (IAM), Amazon CloudWatch, Cloud Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Bash (Scripting Language), Shell Script, Linux, Jupyter, Linux Commands, Database Management, Version Control, Pandas (Python Package), Git (Version Control System), Unix Shell, Web Scraping, Linux Administration, SQL, MySQL, Microservices, Containerization, Docker (Software), Python Programming, Big Data, Data Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      434 reviews

      Beginner · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Management, Version Control, Stored Procedure, SQL, Unix Commands, Databases, Data Modeling, Git (Version Control System), Database Management Systems, Database Design, GitHub, MySQL Workbench, Relational Databases, Star Schema, Tableau Software, Data Visualization Software, Database Administration, Data Structures, Object Oriented Programming (OOP)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Web Scraping, Python Programming, Data Collection, Object Oriented Programming (OOP), Pandas (Python Package), Programming Principles, Data Structures, NumPy, Data Processing, Data Manipulation, Application Programming Interface (API), Data Import/Export, Computer Programming, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Databases and SQL for Data Science with Python

      Skills you'll gain: SQL, Relational Databases, Stored Procedure, Database Design, Databases, Database Management, Data Analysis, Data Manipulation, Pandas (Python Package), Transaction Processing, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Warehouse Engineer

      Skills you'll gain: Data Warehousing, IBM Cognos Analytics, Dashboard, SQL, Data Visualization, Linux Commands, Database Administration, IBM DB2, Bash (Scripting Language), Data Pipelines, Interactive Data Visualization, Data Presentation, Apache Airflow, Database Design, MySQL, Database Management, Database Architecture and Administration, Extract, Transform, Load, Relational Databases, Big Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Artificial Intelligence, Large Language Modeling, Generative AI, Application Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Data Storytelling, Data Cleansing, Data Visualization, Data Validation, Rmarkdown, Data Integrity, Interactive Data Visualization, Data Ethics, Dashboard, Ggplot2, Data Quality, Stakeholder Communications, Data Literacy, Data Visualization Software, Data Analysis, SQL, Interviewing Skills, Analytical Skills, Applicant Tracking Systems

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      172K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to data engineering

    data engineering professional certificate
    data engineering: pipelines, etl, hadoop
    data engineering in aws
    data engineering, big data, and machine learning on gcp
    data engineering capstone project
    data engineering foundations
    data engineering with rust
    data engineering on aws - foundations
    1234…402

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

    • Snowflake Data Engineering: Snowflake
    • Introduction to Data Engineering: IBM
    • IBM Data Engineering: IBM
    • Data Engineering Foundations: IBM
    • Data Engineering on AWS - Foundations: Amazon Web Services
    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • Meta Database Engineer: Meta
    • Python for Data Science, AI & Development: IBM
    • Databases and SQL for Data Science with Python: IBM
    • IBM Data Warehouse Engineer: 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)

    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. You can start learning data engineering on Coursera for free in two ways:

    • Preview the first module of many data engineering courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in data engineering, or unlock full course access after the preview or trial, you can 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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