Build the foundation for a data engineering career. Develop hands-on experience with Python, SQL, and relational databases, and master the fundamentals of the data engineering ecosystem.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Data engineering is one of the fastest growing technology professions, with the demand for skilled data engineers far exceeding the supply. The goal of data engineering is to make high-quality data available for fact-finding and data-driven decision-making.
This internship from IBM will help anyone interested in building a career in data engineering by learning the foundational skills that are important to get started in this field. No prior experience in data engineering is required to succeed in this internship.
You’ll learn the essential requirements of data engineering through engaging videos and hands-on exercises working with real tools and real-world databases. You’ll develop your understanding of data engineering, gain skills that can be directly applied to a data career, and build the foundation for your data engineering career.
After successfully completing these courses, you will have the practical knowledge and experience to delve deeper into data engineering and work on more advanced projects in the field.
All courses in the specialization include a number of practice labs and assignments to help you gain practical experience and skills.
Projects range from working with data in multiple formats to converting the data and loading it into a single source, while analyzing socio-economic data using SQL and working with advanced SQL techniques.
You will work hands-on with a variety of real-world databases and tools, including:
Course 1 • 13 hours • 4.7 (2,711 ratings)
Course 2 • 25 hours • 4.6 (38,067 ratings)
Course 3 • 9 hours • 4.6 (665 ratings)
Course 4 • 15 hours • 4.6 (586 ratings)
Course 5 • 20 hours • 4.7 (20,414 ratings)
