Online Course – Certified Professional Certificate in Meta Database Engineer

Upgrade your career to Data Engineering. Gain market-ready skills in an in-demand job and get certified from Meta. No degree or experience needed to get started.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Basic techniques and methodologies for organizing and managing databases.
  • Advanced techniques for writing data-driven applications and advanced data modeling concepts.
  • MySQL database management system (DBMS) and creating, querying, and using data.
  • Coding and using Python syntax.
  • Preparing for technical interviews for data engineering positions.

What you will learn in the course

Courses for which the course is suitable

  • Data Engineer
  • Data-driven application developer
  • Data Analyst
  • SQL key
  • Python developer
  • Database Management Specialist
  • Data programmer
  • Data Project Manager
  • Data Solutions Developer
  • Data Automation Specialist

Vocational Certificate – Series of 9 Courses

Want to get started in the world of data engineering? This program is taught by industry-recognized experts from Meta. You’ll learn the core skills needed to create, manage, and use databases, as well as industry-standard programming languages ​​and software such as SQL, Python, and Django, which are used to power websites and apps like Facebook, Instagram, and more.

Upon graduation, you will gain access to the Meta Career Programs Bulletin Board – a job search platform that connects you with over 200 employers committed to recruiting talent through Meta’s certificate programs, as well as career support resources to assist you in your job search.

In this program, you will learn:

  • Basic techniques and methodologies for organizing and managing databases.
  • Advanced techniques for writing data-driven applications and advanced data modeling concepts.
  • MySQL database management system (DBMS) and creating, querying, and using data.
  • How to code and use Python syntax.
  • How to prepare for technical interviews for data engineering positions.

All third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless otherwise noted, Coursera’s use of third-party proprietary assets does not imply a relationship, funding, or endorsement between Coursera and the owners of the trademarks or other intellectual property.

Hands-on Learning Project

You will complete a series of 5 projects in which you will showcase your skills in various aspects of data engineering.

You will demonstrate your skills in database normalization by organizing your own relational database by defining relationships between entities and developing a relationship schema.

Next, you’ll work on a stored procedure project where you’ll demonstrate your SQL automation skills by writing a stored procedure to solve real-world problems. After developing your Python skills, you’ll create a Python application to manage a MySQL database and design its interactions with customers.

In the next project, you will be required to run a data model on a real-world project by implementing advanced data model concepts such as automation, storage, and optimization.

Finally, you will be asked to create a MySQL database solution for the application using the knowledge and skills you gained during the program.

Details of the courses that make up the specialization