Coursera

Introduction to Data Engineering (2025)

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Learn data engineering fundamentals. Master data pipelines, ETL processes, and big data technologies.

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Additional information

Additional information

BRAND

Coursera

Size

840 MB

Video Lessons

43

Duration (Hours)

4.19

Language

English

Delivery

Instant Download

Rating

⭐️⭐️⭐️⭐️⭐️ 4.9

Description

Introduction to Data Engineering (2025)

 

Introduction:
Introduction to Data Engineering is your essential guide to understanding the foundation of modern data systems, pipelines, and architectures that power today’s data-driven world. This course provides the knowledge and skills needed to design, build, and manage robust data infrastructures that help organizations make intelligent decisions. Whether you’re a beginner or an aspiring data professional, this 2025 edition delivers updated tools and techniques for real-world applications.

Course Description

The Introduction to Data Engineering (2025) course takes you through the entire lifecycle of data engineering, from data collection to transformation and analysis. You’ll explore how to use cutting-edge technologies like Apache Spark, Hadoop, and Airflow to automate and optimize data pipelines.
Moreover, this course will help you master essential cloud data tools including AWS Redshift, Google BigQuery, and Azure Data Factory.
With practical projects and case studies, you’ll gain hands-on experience that prepares you for real-world data engineering challenges.
Transitioning smoothly from theory to practice, this course ensures that learners develop both conceptual clarity and technical proficiency.

What You’ll Learn

  • Understand the fundamentals of data engineering and its importance in modern analytics.
  • Design and implement data pipelines for structured and unstructured data.
  • Work with ETL (Extract, Transform, Load) processes effectively.
  • Leverage SQL, Python, and cloud tools for data processing.
  • Use data warehousing and data lakes efficiently.
  • Optimize data systems for scalability, speed, and reliability.

Requirements

  • Basic understanding of programming (Python preferred).
  • Familiarity with SQL and databases is helpful but not required.
  • Access to a computer with internet connection.

About the Publication

This course is designed by Expert Training, a leading provider of professional certification and tech learning materials. With years of industry experience, our instructors ensure learners get hands-on, updated, and practical content to stay competitive in the data engineering domain.

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Enroll today to elevate your data engineering expertise and build scalable, efficient data systems that empower data-driven decision-making across industries. This course offers not only theoretical understanding but also hands-on experience through real-world projects that make you industry-ready.


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Additional information

BRAND

Coursera

Size

840 MB

Video Lessons

43

Duration (Hours)

4.19

Language

English

Delivery

Instant Download

Rating

⭐️⭐️⭐️⭐️⭐️ 4.9

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