Advanced Data Modeling from Coursera

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.

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

What's inside

Syllabus

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.

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.

Advanced data analytics

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

Model and analyze data

Apply data modeling to a real world project.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a thorough foundation in advanced database concepts, making it suitable for those new to the field

Suitable for those seeking to advance their career in database management and analytics

Taught by Meta staff, ensuring the curriculum aligns with industry best practices

Provides hands-on experience with industry-standard tools and software

Covers advanced topics such as data modeling, data warehousing, and advanced data analytics

Requires completion of previous database courses, indicating a need for prior knowledge

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Data Modeling with these activities:

Reach out to experienced database professionals

Show steps

Connect with mentors to gain insights, guidance, and support in your learning journey.

Show steps

Attend industry events or meetups
Reach out to professionals on LinkedIn

Review 'Database Fundamentals'

Show steps

Review the fundamental concepts of database design and modeling to reinforce your understanding.

View Database Concepts on Amazon

Show steps

Read chapters 1-3
Take notes on key concepts

Compile a list of useful MySQL commands

Show steps

Create a reference list of MySQL commands to strengthen your recall and ability to perform database operations efficiently.

Browse courses on MySQL

Show steps

Review MySQL documentation
Organize commands by category (e.g., data manipulation, data retrieval)

Five other activities

Expand to see all activities and additional details

Show all eight activities

SQL practice problems

Show steps

Solve SQL practice problems to improve your proficiency in data querying and manipulation.

Browse courses on SQL

Show steps

Visit LeetCode or HackerRank
Solve easy and medium difficulty SQL problems

Follow online tutorials on data warehousing

Show steps

Supplement your learning with online tutorials to gain a deeper understanding of data warehousing concepts.

Browse courses on Data Warehousing

Show steps

Search for tutorials on Coursera or Udemy
Watch videos and complete practice exercises

Join a study group or online forum

Show steps

Engage with peers to discuss course material, ask questions, and reinforce your understanding.

Show steps

Find a study group or online forum
Participate in discussions and ask questions

Design a data model for a real-world scenario

Show steps

Apply your skills to create a data model that solves a real-world problem, fostering your understanding of data modeling principles.

Browse courses on Data Modeling

Show steps

Identify a business requirement
Create an entity-relationship diagram
Normalize the data model
Generate SQL statements to create the database

Answer questions in online forums or study groups

Show steps

By helping others, you solidify your understanding of the course material and develop your communication skills.

Show steps

Join online forums or study groups
Actively participate and answer questions from peers

Career center

Learners who complete Advanced Data Modeling will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers build and maintain the infrastructure that supports data analytics and data science. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Engineer, including how to apply ETL techniques to build data pipelines and how to manage and monitor a data warehouse.

See salaries and explore the career path for Data Engineer

Data Architect

Data Architects design and implement data management solutions that meet the needs of an organization. They work with business stakeholders to understand their data requirements and then design and implement data models that support those requirements. This course can help you develop the skills and knowledge you need to succeed as a Data Architect, including how to apply data modeling skills in a real-world project environment.

See salaries and explore the career path for Data Architect

ETL Developer

ETL Developers build and maintain the infrastructure that supports data analytics and data science. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as an ETL Developer, including how to apply ETL techniques to build data pipelines and how to manage and monitor a data warehouse.

See salaries and explore the career path for ETL Developer

Business Intelligence Analyst

Business Intelligence Analysts use data to provide insights that help businesses make better decisions. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Business Intelligence Analyst, including how to apply advanced data analytics tools and techniques.

See salaries and explore the career path for Business Intelligence Analyst

Data Quality Analyst

Data Quality Analysts ensure that data is accurate, complete, and consistent. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Quality Analyst, including how to identify and correct data quality issues.

See salaries and explore the career path for Data Quality Analyst

Data Scientist

Data Scientists use data to solve business problems. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Scientist, including how to apply advanced data analytics tools and techniques.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use data to solve business problems. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Analyst, including how to apply advanced data analytics tools and techniques.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators work with both data and database management systems to ensure that the data that an organization uses is reliable, accurate, and secure. They also manage the physical storage of data, which requires an understanding of advanced data modeling concepts and database storage options. This course can help you develop these skills, making you a more well-rounded Database Administrator.

See salaries and explore the career path for Database Administrator

Database Developer

Database Developers design and develop databases. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Database Developer, including how to design and develop data models and how to manage and monitor a database.

See salaries and explore the career path for Database Developer

Data Governance Analyst

Data Governance Analysts develop and implement data governance policies and procedures. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Governance Analyst, including how to understand and comply with data governance regulations.

See salaries and explore the career path for Data Governance Analyst

Data Warehouse Manager

Data Warehouse Managers manage and maintain data warehouses. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Warehouse Manager, including how to design and implement data warehouses.

See salaries and explore the career path for Data Warehouse Manager

Data Privacy Analyst

Data Privacy Analysts ensure that data is collected, used, and stored in accordance with privacy laws and regulations. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Privacy Analyst, including how to understand and comply with privacy laws and regulations.

See salaries and explore the career path for Data Privacy Analyst

Data Protection Officer

Data Protection Officers are responsible for overseeing the implementation of data protection policies and procedures. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Protection Officer, including how to understand and comply with data protection laws and regulations.

See salaries and explore the career path for Data Protection Officer

Information Security Analyst

Information Security Analysts plan and implement security measures to protect information from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as an Information Security Analyst, including how to develop and implement information security policies and procedures.

See salaries and explore the career path for Information Security Analyst

Data Security Analyst

Data Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with data from a variety of sources, including databases, data warehouses, and big data platforms. This course can help you develop the skills and knowledge you need to succeed as a Data Security Analyst, including how to develop and implement data security policies and procedures.

See salaries and explore the career path for Data Security Analyst

Advanced Data Modeling

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses