What you will learn
- Gain proficiency in SQL syntax to interact effectively with databases.
- Learn to create, manage, and optimize databases from scratch.
- Develop applications in Python that connect to MySQL databases.
- Understand advanced data modeling concepts for efficient database design.
- Explore advanced MySQL topics, including optimization techniques and user-defined functions.
- Complete a capstone project to demonstrate your database engineering skills.
Program Overview
Introduction to Databases
⏱️ 4-6 weeks
- Understand the fundamentals of databases and their applications.
- Learn about data models, schemas, and database design principles.
- Explore the role of databases in software applications
SQL for Data Science
⏱️6-8 weeks
- Master SQL syntax and commands for data retrieval and manipulation.
- Perform complex queries using joins, subqueries, and set operations.
- Apply SQL in real-world scenarios for data analysis.
Advanced MySQL Topics
⏱️8-12 weeks
- Dive into advanced MySQL features, including stored procedures and triggers.
- Optimize database performance using indexing and query optimization techniques.
- Manage transactions and ensure data integrity.
Python Programming
⏱️6-8 weeks
- Learn Python programming fundamentals relevant to database applications.
- Connect Python applications to MySQL databases.
- Automate database operations using Python scripts.
Advanced Data Modeling
⏱️6-8 weeks
- Explore complex data modeling techniques for large-scale databases.
- Design normalized databases to reduce redundancy and improve efficiency.
- Implement entity-relationship models in database design..
Database Clients
⏱️ 4-6 weeks
- Understand how to interact with databases using various client tools.
- Manage database connections and perform administrative tasks
- Ensure secure and efficient database access for applications.
Database Engineer Capstone
⏱️ 12-15 weeks
- Apply acquired skills to a comprehensive project, creating and managing a database for a real-world scenario.
- Demonstrate proficiency in database design, implementation, and optimization.
- Present findings and solutions effectively.
Get certificate
Job Outlook
- The U.S. Bureau of Labor Statistics projects a 22% growth in software engineering roles, including database engineering, by 2030.
- High demand exists across industries such as technology, finance, healthcare, and e-commerce.
- Entry-level salaries for database engineers range from $60,000 to $85,000 annually, with experienced professionals earning upwards of $120,000.
- Employers seek expertise in SQL, Python, database management, and data modeling.
- Earning the Meta Database Engineer Professional Certificate enhances visibility on job platforms and demonstrates industry-recognized skills.
- This certification provides a strong foundation for careers in database engineering, data architecture, and related fields.
- The role offers high job security and growth potential, aligning with trends in big data, cloud.
Specification: Meta Database Engineer Professional Certificate
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