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Introduction to Data Engineering

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BeginnerCourse

Learn the core concepts and tools of data engineering, from data pipelines to big data stores, and gain an understanding of the modern data ecosystem and the career opportunities. Hands-on labs will help you get started.

4.7 (3k+ Reviews)

Language

  • English

Topic

  • Database

Enrollment Count

  • 207.97K

Skills You Will Learn

  • Data Engineering, Data Management, Extract, Transform, Load

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 5 weeks

Platform

  • Coursera

Last Update

  • July 15, 2025
About this Course
This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. The Data Engineering Ecosystem includes several different components. It includes disparate data types, formats, and sources of data. Data Pipelines gather data from multiple sources, transform it into analytics-ready data, and make it available to data consumers for analytics and decision-making. Data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, and big data stores process and store this data. Data Integration Platforms combine disparate data into a unified view for the data consumers. You will learn about each of these components in this course. You will also learn about Big Data and the use of some of the Big Data processing tools.


A typical Data Engineering lifecycle includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. It also includes performance monitoring and finetuning to ensure systems are performing at optimal levels. In this course, you will learn about the data engineering lifecycle. You will also learn about security, governance, and compliance.


Data Engineering is recognized as one of the fastest-growing fields today. The career opportunities available in the field and the different paths you can take to enter this field are discussed in the course.


The course also includes hands-on labs that guide you to create your IBM Cloud Lite account, provision a database instance, load data into the database instance, and perform some basic querying operations that help you understand your dataset.

Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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Priya Kapoor

Portfolio Manager

Priya Kapoor works as a Senior Instructional Designer and Content Developer for Skill-Up Technologies. For the past 25 years, Priya has been involved in creating classroom, online, and blended learning programs for clients across North America, Europe, and APAC. Priya has worked in large-scale projects involving content design and development, content internationalization, and platform agnostic delivery of legacy content for technical, workplace productivity, and leadership programs. She has also worked as part of the team that developed digital learning products and a social learning platform awarded the Brandon Hall Excellence Awards in 2012 and 2013 respectively.

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