Coursera

Advanced Data Modeling (Coursera)

Offered by Meta,

Develop a working knowledge and familiarity with advanced database concepts such as usage, modeling, automation, storage, optimization and administration. To take this course, you must have completed the previous Database courses. You must also be eager to continue your journey with coding. The Professional Certificates create opportunities so that anyone regardless of education, background or experience can learn high-quality skills to land a high-growth career—no degree or experience required to get started.

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By the end of this course, you’ll be able to:

Deploy basic data modeling skills and navigate modern storage options for a data warehouse
Apply planning and execution of ETL style database engineering by building upon existing MySQL skills
Develop a working knowledge of the different aspects of managing a database including administration of database operations and concerns, alongside processes and solutions for monitoring, reporting and debugging
Demonstrate data modeling skills within a real-world project environment

You’ll gain experience with the following tools and software:

Workbench data modeling software
Syntaxes used to interact with a data warehouse
Extract, transform and loading (ETL) techniques and methods
MySQL data warehouse administration
Data warehouse monitoring and reporting tools
Database debugging and testing tools
Data modeling tools

Course 7 of 9 in the Meta Database Engineer Professional Certificate.

What You Will Learn

Deploy basic data modeling skills and navigate modern storage options for a data warehouse.
Demonstrate data modeling skills within a real-world project environment.

Syllabus

WEEK 1
Data modeling and management
Get to grips with fundamental data modeling concepts, with a particular focus on a systematic database modeling process. Then learn to use MySQL Workbench to visually design, model, generate, and manage databases.

WEEK 2
Data warehousing
Learn about the role of data warehouses in database analytics, the characteristics of a data warehouse and data warehouse architecture. Develop familiarity with the dimensional data modeling approach for data warehousing.

WEEK 3
Advanced data analytics
Explore the role of advanced data analytics tools and evaluate how they're used to evaluate business performance.

WEEK 4
Model and analyze data
Apply data modeling to a real world project.

Go to Class

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