Fundamentals of Data Engineering Specialization
Fundamentals of Data Engineering Specialization ranks 2nd in the list of the best online Database courses. You'll develop your understanding of data engineering, gain skills that can be applied directly to a data career, and build the foundation of your data engineering career. Upon successfully completing these courses, you will have the practical knowledge and experience to delve deeper into data engineering and work on more advanced data engineering projects. Data engineering is one of the fastest-growing IT careers, with a severe shortage of skilled data engineers. Data engineering's purpose is to make high-quality data available for fact-finding and data-driven decision making. This IBM Specialization will assist anyone interested in pursuing a career in data engineering by offering the core skills required to get started. This Specialization does not require any prior data engineering experience.
The Specialization comprises of five self-paced online courses that address data engineering skills such as the data engineering ecosystem and lifecycle, Python, SQL, and Relational Databases. These data engineering prerequisites will be taught to you through entertaining videos and hands-on practice with real tools and databases.
What you will learn:
- Working knowledge of Data Engineering Ecosystem and Lifecycle. Viewpoints and tips from Data professionals on starting a career in this domain.
- Python programming basics including data structures, logic, working with files, invoking APIs, using libraries such as Pandas and Numpy, doing ETL.
- Relational Database fundamentals including Database Design, Creating Schemas, Tables, Constraints, and working with MySQL, PostgreSQL & IBM Db2.
- SQL query language, SELECT, INSERT, UPDATE, DELETE statements, database functions, stored procs, working with multiple tables, JOINs, & transactions.
Coursera: 4.7/5.0
Enroll here: coursera.org/specializations/data-engineering-foundations
