Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months.
As a data engineer, you organise databases and data warehouses, optimising them for storage and retrieval. Data engineers help companies make sense of big data with SQL, NoSQL, or hybrid infrastructures.
There are multiple branches of software engineering you can specialize in, and each one comes with a unique set of responsibilities. This program is designed to prepare people for a career as a database engineer.
A prompt engineer helps make generative AI more effective. Learn about the role of a prompt engineer, including what they do, where they work, and how much the average prompt engineering salary is in the US.
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With the Meta Database Engineer Professional Certificate, you'll learn to create databases from scratch and learn how to add, manage and optimize your database.
Business analyst: $94,112 Database administrator: $105,993 Business intelligence analyst: $102,763 Statistician: $100,105 Data engineer: $233,999 Data scientist: $119,510 Data architect: $142,646 Analytics manager: $131,202 Machine learning engineer: $124,151 Read more: 4 Data Analyst Career Paths: Your Guide to Leveling Up
Learn how to boost your NLP engineer salary with Coursera. You must have strong programming skills, expertise in NLP libraries, and a solid understanding of machine learning algorithms to advance in your NLP career.
Advanced Level: Database Administrator, Data Engineer, Data Architect If you want to learn SQL, consider completing the Google Data Analytics Professional Certificate online on Coursera.
