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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

    • D

      DeepLearning.AI

      Data Modeling, Transformation, and Serving

      Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Data Integration, Extract, Transform, Load, Data Pipelines, Apache Spark, Data Manipulation, Star Schema, Applied Machine Learning, Real Time Data, Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69 reviews

      Intermediate · Course · 1 - 4 Weeks

    • W

      Whizlabs

      Data Engineering in AWS

      Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI: Elevate your Data Engineering Career

      Skills you'll gain: Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Artificial Intelligence, Data Quality

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Engineering: Pipelines, ETL, Hadoop

      Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data-Driven Decision-Making, Big Data, Data Warehousing, Data Infrastructure, Data Lakes, Data Architecture, Apache Spark, Data Integration, Data Processing, Data Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      I

      IBM

      IBM Relational Database Administrator

      Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, Data Store, IBM DB2, Jupyter, Generative AI

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Linux and Bash for Data Engineering

      Skills you'll gain: Bash (Scripting Language), Linux Commands, Shell Script, Linux, Linux Administration, Unix Shell, File Management, Unix, Unix Commands, File Systems, Scripting, Command-Line Interface, Scripting Languages, Remote Access Systems, Data Manipulation, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      128 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Scripting with Python and SQL for Data Engineering

      Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Storage Technologies, Data Capture, Spatial Data Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Cloud Data Engineering

      Skills you'll gain: Cloud-Native Computing, Software Engineering, Distributed Computing, Cloud Storage, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Pipelines, Amazon Web Services, Command-Line Interface, Data Processing, Continuous Integration, Python Programming, Data Governance, Rust (Programming Language), Unix Commands

      4.1
      Rating, 4.1 out of 5 stars
      ·
      81 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Data Engineering with Rust

      Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Data Structures, Secure Coding, Data Processing, Cloud Applications, Data Manipulation, Encryption, Algorithms

      3.6
      Rating, 3.6 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Data Engineering Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Technical Communication, Professional Development, Data Strategy, Data Ethics, Data Infrastructure, Data Pipelines, Verbal Communication Skills, Communication Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Engineering Project Management

      Skills you'll gain: Project Scoping, Communication Planning, Cost Management, Scope Management, Project Estimation, Project Schedules, Earned Value Management, Scheduling, Team Management, Quality Assurance, Stakeholder Management, Work Breakdown Structure, Risk Management, Organizational Structure, Procurement, Project Risk Management, Project Documentation, Project Controls, Project Management, Project Management Life Cycle

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      MySQL-for-Data-Engineering

      Skills you'll gain: MySQL, Bash (Scripting Language), Scripting, Database Management, Relational Databases, Command-Line Interface, SQL, Databases, Data Import/Export, Database Application, Data Pipelines, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to data engineering

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    1…456…730

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

    • Data Modeling, Transformation, and Serving: DeepLearning.AI
    • Data Engineering in AWS: Whizlabs
    • Generative AI: Elevate your Data Engineering Career : IBM
    • Data Engineering: Pipelines, ETL, Hadoop: Coursera Instructor Network
    • IBM Relational Database Administrator: IBM
    • Linux and Bash for Data Engineering: Duke University
    • Scripting with Python and SQL for Data Engineering: Duke University
    • Cloud Data Engineering: Duke University
    • Data Engineering with Rust: Duke University
    • Data Engineering Career Guide and Interview Preparation: 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

    Coursera’s Data Engineering courses offer learners a deep dive into the technical skills required to design, build, and manage data infrastructure:

    • Techniques for designing data models and databases.
    • Skills in data warehousing and data lake construction and management.
    • Proficiency in big data technologies such as Hadoop, Spark, and Apache Kafka.
    • Best practices for data integration, ETL (extract, transform, load) processes, and pipeline construction.
    • Understanding of data quality management and data governance.
    • Application of automation and monitoring tools to maintain data systems.‎

    Data Engineering courses on Coursera cater to learners of all backgrounds:

    • Beginners can start with introductory courses that teach the basics of data infrastructure and SQL.
    • Those with some technical experience can focus on advanced topics like big data processing or cloud data services.
    • Advanced learners can explore specialized areas such as machine learning data pipelines or real-time data processing.‎

    Learners who complete Data Engineering courses on Coursera can earn credentials that may enhance their professional profiles:

    • Professional certificates that demonstrate a foundational understanding and practical skills in data engineering.
    • Specializations that focus on detailed aspects of data engineering, such as performance tuning, scalability, or security.
    • Certificates that can potentially be recognized by technology companies and other employers as evidence of expertise in data engineering.‎

    Skills in data engineering can lead to a variety of roles within the technology and analytics sectors:

    • Data Engineer, responsible for designing and managing scalable data systems.
    • Database Administrator, maintaining and optimizing database performance.
    • Cloud Solutions Architect, focusing on cloud storage and data services.
    • Data Architect, shaping strategic data practices and architectures.
    • Machine Learning Engineer, preparing data infrastructure for predictive models.‎

    Yes, Coursera offers a variety of free courses across many topics, including data engineering. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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