Colleagues, in the “Meta Database Engineer Professional Certificate” program you will build job-ready skills for an in-demand career and earn a credential from Meta. No degree or experience required to get started. Learn to demonstrate proficiency of SQL syntax and explain how it’s used to interact with a database, create databases from scratch and learn how to add, manage and optimize your database, write database driven applications in Python to connect clients to MySQL databases and develop a working knowledge of advanced data modeling concepts. Acquire high demand skills in database management Tabular records, database administration, SQL and Python syntax, and MySQL. You will demonstrate your competency in SQL automation by writing a stored procedure to solve real world problems. After developing your skills in Python, create a Python application to administer a MySQL database and program its interactions with clients. You will also apply data modeling to a real-world project by enacting advanced data modeling concepts such as automation, storage and optimization. Finally, you’ll be tasked with creating a MySQL database solution for an app by drawing on the knowledge and skills that they have gained throughout the program. Training modules include: 1) Introduction to Databases, 2) Version Control, 3) Database Structures and Management with MySQL, 4) Advanced MySQL Topics, 5) Programming in Python, 6) Database Clients, 7) Advanced Data Modeling, 8) Database Engineer Capstone, and 9) Coding Interview Preparation.
Enroll today (teams & executives are welcome): imp.i384100.net/k0D1NV
Download your free Data Science - Career Transformation Guide.
Explore our Data-Driven Organizations Audible and Kindle book series on Amazon:
1 - Data-Driven Decision-Making (Audible) (Kindle)
2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)
3 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle)
Much career success, Lawrence E. Wilson - Data Science Academy (share with your team)
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