Description
The Data Engineering Foundations Specialization is published by Coursera Academy. Data engineering is one of the fastest-growing careers in technology, with demand for skilled data engineers far outstripping supply. The goal of data engineering is to make quality data available for fact-finding and data-driven decision-making. This specialization from IBM helps anyone interested in pursuing a career in data engineering by teaching them the essential skills to get started in the field. No prior experience in data engineering is required to succeed in this specialization.
This specialization consists of 5 self-paced online courses that cover the skills required for data engineering, including the data engineering ecosystem and lifecycle, Python, SQL, and relational databases. You will learn these data engineering prerequisites through engaging videos and hands-on practice using real tools and real-world databases. You will develop your understanding of data engineering, gain skills that can be directly applied to your data career, and build the foundation for your data engineering career. Upon successful completion of these courses, you will have the practical knowledge and experience needed to delve deeper into data engineering and work on more advanced data engineering projects.
What you will learn
- Practical knowledge of the data engineering ecosystem and lifecycle. Insights and tips from data professionals on getting started in the field.
- Python programming fundamentals including data structures, logic, working with files, calling APIs, using libraries like Pandas and Numpy, performing ETL.
- Fundamentals of relational databases including database design, creating schemas, tables, constraints, and working with MySQL, PostgreSQL, and IBM Db2.
- SQL query language, SELECT, INSERT, UPDATE, DELETE commands, database functions, stored procedures, working with multiple tables, JOINs, and transactions.
Data Engineering Foundations Specialization Course Details
- Publisher: Coursera
- Instructor: Abhishek Gagneja
- Language: English
- Education level: Elementary
- Number of lessons: 5
- Training duration: 2 months, including 10 hours of work per week
Data Engineering Foundations Specialization Course Topics

Course prerequisites
- Basic Computer & IT Literacy, and working experience on one or more Operating Systems. No prior knowledge or experience of Data Engineering needed
Pictures

Sample video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Course 1 – Introduction to Data Engineering
Course 2 – Python for Data Science, AI & Development
Course 3 – Python Project for Data Engineering
Course 4 – Introduction to Relational Databases (RDBMS)
Course 5 – Databases and SQL for Data Science with Python
File size
1.37 GB









