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Data Engineering Fundamentals
This course is part of multiple programs. Learn more.
Course Cost
₹ 8,650
Beginner
Skill Level
4 Weeks
Self-paced Video lessons
This comprehensive course introduces the fundamentals of data engineering, covering the complete ecosystem and lifecycle. Students learn about data platforms, repositories, integration tools, and pipelines essential for modern data management. The curriculum explores various data storage solutions including relational and non-relational databases, data warehouses, and data lakes. Through hands-on labs using IBM Cloud, participants gain practical experience in data store provisioning, data preparation, and basic operations. The course also covers big data concepts, career opportunities in data engineering, and industry best practices, making it ideal for those looking to enter or advance in the field.
What you'll learn
Understand core data engineering concepts and responsibilities
Master the complete data engineering lifecycle and key processes
Explore different layers of data platform architecture
Learn about various data storage solutions and integration tools
Gain practical experience with IBM Cloud data services
Understand career paths and opportunities in data engineering
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This introductory course provides a comprehensive overview of data engineering concepts and practices. The curriculum is structured around understanding the data engineering ecosystem, lifecycle, and career opportunities. Students learn about various components of data platforms, including data repositories, integration tools, and business intelligence solutions. The course emphasizes practical applications through hands-on labs using IBM Cloud, teaching students how to manage and process data effectively. Special attention is given to big data concepts and their impact on modern data engineering practices.
What is Data Engineering
Module 1
Data Engineering Ecosystem
Module 2
Data Engineering Lifecycle
Module 3
Career Opportunities and Learning Paths
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Engineering, Data Engineering Fundamentals, Data Warehouse Engineering
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.6
140
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31,49,375
Students
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Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.