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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
      ·
      211 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D
      A

      Multiple educators

      DeepLearning.AI Data Engineering

      Skills you'll gain: Apache Airflow, Data Modeling, Data Engineering, Data Architecture, Data Storage, Data Transformation, Data Pipelines, Data Lakes, Data Warehousing, Database Architecture and Administration, Requirements Analysis, SQL, Query Languages, Data Integration, Database Systems, Database Management Systems, Databases, Amazon Web Services, Extract, Transform, Load, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      483 reviews

      Intermediate · Professional Certificate · 3 - 6 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, SQL, IBM Cognos Analytics, Dashboard, Data Visualization, Apache Spark, Apache Hadoop, 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, Databases, Data Architecture, Database Management, Data Pipelines, Data Storage Technologies, Query Languages, Jupyter, PostgreSQL, Data Governance, Python Programming

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to Data Engineering

      Skills you'll gain: Data Architecture, Requirements Analysis, Data Pipelines, Amazon Web Services, Amazon Redshift, Data Warehousing, System Requirements, Data Processing, Amazon S3, Data Transformation, Cloud Computing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      402 reviews

      Intermediate · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      S

      Snowflake

      Introduction to Modern Data Engineering with Snowflake

      Skills you'll gain: Data Pipelines, Data Engineering, Data Transformation, Data Integration, Extract, Transform, Load, Data Warehousing, Stored Procedure, SQL, Data Analysis, Automation, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      110 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      ·
      437 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
      ·
      146 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Data Lakes, Data Warehousing, Real Time Data, Data Visualization, Cloud Storage, Big Data, Tensorflow, Data Infrastructure, Extract, Transform, Load, Data Integration, Apache Spark, Data Processing, Unstructured Data, Analytics, MLOps (Machine Learning Operations), Cloud API, Cloud Infrastructure

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python Project for Data Engineering

      Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Transformation, Data Manipulation, Package and Software Management, Unit Testing, SQL, Data Processing, Database Management, Python Programming, Programming Principles, Application Programming Interface (API), Style Guides

      4.6
      Rating, 4.6 out of 5 stars
      ·
      791 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Applied Python Data Engineering

      Skills you'll gain: Data Visualization Software, Data Visualization, Containerization, Docker (Software), PySpark, Kubernetes, Snowflake Schema, Plotly, Data Storytelling, Matplotlib, Virtualization, Databricks, Apache Hadoop, Data Pipelines, Interactive Data Visualization, Cloud Engineering, Apache Spark, Big Data, Data Science, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      98 reviews

      Intermediate · Specialization · 1 - 3 Months

    Searches related to data engineering

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    1234…809

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

    • Snowflake Data Engineering: Snowflake
    • DeepLearning.AI Data Engineering: DeepLearning.AI
    • Introduction to Data Engineering: IBM
    • IBM Data Engineering: IBM
    • Data Engineering Foundations: IBM
    • Introduction to Data Engineering: DeepLearning.AI
    • Introduction to Modern Data Engineering with Snowflake: Snowflake
    • Python, Bash and SQL Essentials for Data Engineering: Duke University
    • Data Engineering on AWS - Foundations: Amazon Web Services
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud

    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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