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María del Pilar Ángeles

Welcome to the specialization course Relational Database Systems. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how several types of information systems and databases are available to solve different problems and needs of the companies.

Objective:

A learner will be able to design, test, and implement analytical, transactional or NoSQL database systems according to business requirements by programming reliable, scalable and maintainable applications and resources using SQL and Hadoop ecosystem.

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Welcome to the specialization course Relational Database Systems. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how several types of information systems and databases are available to solve different problems and needs of the companies.

Objective:

A learner will be able to design, test, and implement analytical, transactional or NoSQL database systems according to business requirements by programming reliable, scalable and maintainable applications and resources using SQL and Hadoop ecosystem.

Programming languages:

For course 1 you will use the MYSQL language.

Software to download:

MySQL

Workbench

In case you have a Mac / IOS operating system you will need to use a virtual Machine (VirtualBox, Vmware).

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What's inside

Syllabus

Information Systems
In the first module named information systems, we will learn how people, hardware, software, networks, techniques and procedures work together to automate transactional processes that companies need for their daily operations. Let's start!
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Examines the structure and components of the SQL and Hadoop ecosystem, which are industry standard and essential for contemporary business applications and data analysis
Taught by María del Pilar Ángeles, a recognized instructor in the field of data science and database management
Develops skills and knowledge in database design, testing, and implementation, which are core skills for a variety of roles in data science and information technology
Builds a strong foundation in relational database concepts and SQL programming, which are essential for data manipulation and analysis
Covers advanced SQL programming techniques, which are essential for efficient data retrieval and manipulation
Requires students to have some programming experience, which may be a barrier to entry for complete beginners

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Reviews summary

Foundational relational database systems course

According to learners, this course provides a solid foundation in relational database systems. Many appreciate the clear explanations of core concepts like ER diagrams and the relational model. The practical exercises and assignments using MySQL Workbench are frequently highlighted as a strength, helping students apply what they learn through hands-on practice. The structured progression from theory to SQL is generally well-received. However, some students found the initial software setup challenging, particularly on non-Windows systems. There are also comments suggesting the course could benefit from deeper coverage of advanced topics like query optimization and the mentioned NoSQL/Hadoop ecosystems, which are only touched upon.
Topics presented in a logical, step-by-step order.
"I appreciated the way the course flowed from ER diagrams to SQL."
"The modules built on each other logically."
"The structure made it easy to follow the progression of database design."
"The course structure felt well-planned."
Concepts are explained in an easy-to-understand way.
"The instructor explains complex ideas simply."
"I found the lectures easy to follow and well-organized."
"Everything was broken down into manageable steps."
"The theoretical modules were particularly well explained."
Hands-on practice applying concepts with MySQL.
"The labs using MySQL Workbench were incredibly helpful for practicing SQL."
"I really liked the assignments; they let me apply the DDL and DML commands."
"Getting to work directly with MySQL made the concepts stick."
"The practical parts felt very relevant and useful."
Provides a strong base for understanding databases.
"This course really helped me build a strong foundation in database concepts and relational models."
"I feel I have a much clearer understanding of how databases work after taking this course."
"Excellent introduction to relational database systems."
"It covers the basics very well and provides a good starting point."
"The theoretical parts were explained clearly and laid a good groundwork."
Setting up MySQL and Workbench can be tricky.
"I struggled quite a bit getting MySQL Workbench installed and configured."
"The instructions for setting up on a Mac using a VM weren't very clear."
"Spent a lot of time troubleshooting installation issues before starting."
"Getting the software ready was the hardest part of the course."
Deeper topics like optimization lack detail.
"I was hoping for more depth on query optimization, but it felt very brief."
"The sections on advanced SQL and transactions could have been more thorough."
"It mentions NoSQL and Hadoop but doesn't really teach them, which was a bit misleading."
"Felt like it just scratched the surface on some later topics."

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 Relational database systems with these activities:
Organize and review course materials
Organizing and reviewing course materials will help you stay on top of the course content and improve your retention.
Show steps
  • Gather all course materials, including notes, assignments, and readings
  • Organize the materials in a logical and accessible way
  • Review the materials regularly to reinforce your learning
Review SQL
Reviewing SQL will help strengthen your foundational understanding of the language and prepare you for the course materials.
Browse courses on SQL
Show steps
  • Revisit SQL syntax and commands
  • Practice writing SQL queries
  • Review SQL data types and operators
Follow tutorials on MySQL
Following tutorials on MySQL will provide you with hands-on experience working with the database and reinforce your understanding of the concepts.
Browse courses on MySQL
Show steps
  • Find tutorials on MySQL basics
  • Follow along with the tutorials and practice the exercises
  • troubleshoot any issues you encounter
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete SQL practice exercises
Completing SQL practice exercises will help you develop your problem-solving skills and improve your proficiency with the language.
Browse courses on SQL
Show steps
  • Find online SQL practice exercises
  • Attempt to solve the exercises on your own
  • Review the solutions and learn from your mistakes
Create a database design document
Creating a database design document will help you develop your understanding of database design principles and apply them to a real-world scenario.
Browse courses on Database Design
Show steps
  • Choose a project to design a database for
  • Identify the entities and relationships in the project
  • Create an ER diagram to represent the database design
  • Write a detailed description of the database design
Develop a small database application
Developing a small database application will provide you with hands-on experience working with a complete database system and reinforce your understanding of the concepts.
Browse courses on Database Development
Show steps
  • Design the database schema
  • Create the database and tables
  • Populate the database with data
  • Write SQL queries to retrieve and manipulate data
  • Create a simple user interface for the application
Mentor junior students in learning SQL
Mentoring junior students will help you solidify your understanding of SQL and develop your communication and teaching skills.
Browse courses on SQL
Show steps
  • Identify opportunities to mentor junior students
  • Prepare materials and resources for mentoring sessions
  • Meet with students regularly and provide guidance
  • Provide feedback and support to students
Find a mentor who can provide guidance on database systems
Finding a mentor can provide you with valuable guidance and support as you progress in your學習journey.
Browse courses on Mentorship
Show steps
  • Identify individuals in your field who you admire and respect
  • Reach out to potential mentors and express your interest in their mentorship
  • Establish clear expectations and goals for the mentorship

Career center

Learners who complete Relational database systems will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators play a critical role in the management, maintenance, and optimization of database management systems, ensuring that data is accurate, secure, and readily available to users. This course provides a strong foundation for aspiring Database Administrators, enabling them to design, test, and implement robust database systems that meet the evolving needs of organizations.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify patterns and trends that support decision-making. The course's focus on data manipulation and query optimization empowers Data Analysts to effectively extract meaningful insights from complex datasets, making it a valuable addition to their skillset.
Business Intelligence Analyst
Business Intelligence Analysts utilize data analysis techniques to provide valuable insights to businesses, aiding in strategic decision-making. This course equips aspiring Business Intelligence Analysts with the necessary skills to design and implement database systems that support data-driven decision-making.
Information Systems Manager
Information Systems Managers oversee the planning, implementation, and maintenance of information systems within organizations. The course's comprehensive coverage of information systems, from conceptual design to optimization, provides Information Systems Managers with a holistic understanding of the field.
Data Scientist
Data Scientists leverage statistical and computational techniques to uncover patterns and insights from data. This course may be helpful for aspiring Data Scientists, particularly those interested in using structured query language for data manipulation and analysis.
Software Developer
Software Developers design, develop, and maintain software applications. The course's focus on programming languages and software tools provides Software Developers with valuable skills for building reliable and scalable database-driven applications.
Database Architect
Database Architects design and implement the architecture of database systems, ensuring efficiency, reliability, and scalability. The course's emphasis on logical and physical design provides a solid foundation for aspiring Database Architects.
Data Engineer
Data Engineers build and maintain data pipelines and infrastructure to support data-driven decision-making. This course may be useful for aspiring Data Engineers, providing an understanding of database design and data manipulation.
Systems Analyst
Systems Analysts analyze and design computer systems to meet business needs. The course's comprehensive coverage of information systems provides Systems Analysts with a solid understanding of the role of databases in modern organizations.
IT Consultant
IT Consultants provide expertise and guidance to organizations on technology-related matters. This course may be helpful for aspiring IT Consultants who specialize in database management or information systems.
Information Technology Manager
Information Technology Managers oversee the planning, implementation, and maintenance of IT systems and infrastructure within organizations. The course's comprehensive coverage of information systems provides Information Technology Managers with a strong foundation for managing database systems effectively.
Technical Writer
Technical Writers create documentation and training materials for software and technology products. The course's focus on structured query language and data manipulation may be useful for Technical Writers who need to communicate complex technical concepts clearly.
Information Security Analyst
Information Security Analysts protect organizations from cyber threats and data breaches. The course's emphasis on data security and optimization may be helpful for aspiring Information Security Analysts who need to understand database systems and their vulnerabilities.
Project Manager
Project Managers lead and manage projects from initiation to completion. The course's coverage of planning, implementation, and optimization may be helpful for Project Managers who work on projects involving database systems.
Database Designer
Database Designers design and develop the structure and organization of databases. The course's emphasis on logical and physical design provides a strong foundation for aspiring Database Designers.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Relational database systems.
Provides a comprehensive overview of information retrieval techniques. It good choice for students who want to learn more about information retrieval and how to use it to solve real-world problems.
Provides a comprehensive overview of machine learning techniques. It good choice for students who want to learn more about machine learning and how to use it to solve real-world problems.
Provides a comprehensive overview of deep learning techniques for natural language processing. It good choice for students who want to learn more about deep learning and how to use it to solve real-world NLP problems.
Provides a comprehensive overview of reinforcement learning techniques. It good choice for students who want to learn more about reinforcement learning and how to use it to solve real-world problems.
Provides a comprehensive overview of computer vision techniques. It good choice for students who want to learn more about computer vision and how to use it to solve real-world problems.
Provides a comprehensive overview of database systems, covering everything from the basics of data modeling to advanced topics such as query optimization and data mining. It valuable resource for both students and professionals who want to learn more about database systems.
Provides a comprehensive overview of Hadoop, from its architecture to its applications. It good choice for students who want to learn more about Hadoop and how to use it to solve big data problems.
Provides a classic introduction to database management systems. It good choice for students who want to learn more about the theoretical foundations of database systems.
Provides a comprehensive overview of data mining techniques. It good choice for students who want to learn more about data mining and how to use it to solve real-world problems.
Provides a comprehensive overview of information systems. It good choice for students who want to learn more about IS and how to use it to improve business performance.
Provides a clear and concise introduction to NoSQL databases. It good choice for students who are new to NoSQL or who need a refresher on the basics.
Provides a step-by-step guide to entity-relationship modeling. It good choice for students who want to learn more about ER modeling and how to use it to design database systems.
Provides a step-by-step guide to learning SQL. It good choice for students who are new to SQL or who need a refresher on the basics.

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