Database Management Essentials provides the foundation you need for a career in database development, data warehousing, or business intelligence, as well as for the entire Data Warehousing for Business Intelligence specialization. In this course, you will create relational databases, write SQL statements to extract information to satisfy business reporting requests, create entity relationship diagrams (ERDs) to design databases, and analyze table designs for excessive redundancy. As you develop these skills, you will use either Oracle, MySQL, or PostgreSQL to execute SQL statements and a database diagramming tool such as the ER Assistant or Visual Paradigm to create ERDs. We’ve designed this course to ensure a common foundation for specialization learners. Everyone taking the course can jump right in with writing SQL statements in Oracle, MySQL, or PostgreSQL.
This course is part of the Data Warehousing for Business Intelligence Specialization
Database Management Essentials
Offered By
Data Warehousing for Business Intelligence SpecializationUniversity of Colorado SystemAbout this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Database (DB) Design
- Entity–Relationship (E-R) Model
- Database (DBMS)
- SQL
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
University of Colorado System
The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.
Syllabus - What you will learn from this course
Course Introduction
Module 1 provides the context for Database Management Essentials. When you’re done, you’ll understand the objectives for the course and know what topics and assignments to expect. Keeping these course objectives in mind will help you succeed throughout the course! You should read about the database software requirements in the second lesson of module 1. I recommend that you try to install the DBMS software this week before assignments begin in module 3.
Introduction to Databases and DBMSs
You will launch into an exploration of databases and database technology and their impact on organizations in Module 2. You will investigate database characteristics, database technology features, including non-procedural access, two key processing environments, and an evolution of the database software industry. This short informational module ensures a common background and context, important for success in later modules that emphasize details and hands-on skills.
Relational Data Model and the CREATE TABLE Statement
Now that you have the context for database features and environments, you’ll start building! In this module, you’ll learn relational data model terminology, integrity rules, and the CREATE TABLE statement. You’ll apply what you’ve learned in practice and graded problems using a database management system (DBMS), either the Oracle Cloud database server with the SQL Developer client or the PostgreSQL database server with the pgAdmin client. You will use the SQL CREATE TABLE statement and populate your tables using given SQL INSERT statements. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Basic Query Formulation with SQL
This module is all about acquiring query formulation skills. Now that you know the relational data model and have basic skills with the CREATE TABLE statement, we can cover basic syntax of the SQL SELECT statement and the join operator for combining tables. SELECT statement examples are presented for single table conditions, join operations, and grouping operations. You’ll practice writing simple SELECT statements using the tables that you created in the assignment for module 3. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Extended Query Formulation with SQL
Now that you can identify and use the SELECT statement and the join operator, you’ll extend your problem solving skills in this module so you can gain confidence on more complex queries. You will work on retrieval problems with multiple tables and grouping. In addition, you’ll learn to use the UNION operator in the SQL SELECT statement and write SQL modification statements. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Notation for Entity Relationship Diagrams
Module 6 represents another shift in your learning. In previous modules, you’ve created and populated tables and developed query formulation skills using the SQL SELECT statement. Now you’ll start to develop skills that allow you to create a database design to support business requirements. You’ll learn basic notation used in entity relationship diagrams (ERDs), a graphical notation for data modeling. You will create simple ERDs using basic diagram symbols and relationship variations to start developing your data modeling skills. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
ERD Rules and Problem Solving
Module 7 builds on your knowledge of database development using basic ERD symbols and relationship variations. You will be practicing precise usage of ERD notation and basic problem solving skills. You will learn about diagram rules and work problems to help you gain confidence using and creating ERDs. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Developing Business Data Models
In Module 8, you’ll use your ERD notation skills and your ability to avoid diagram errors to develop ERDs that satisfy specific business data requirements. You will learn and practice powerful problem-solving skills as you analyze narrative statements and transformations to generate alternative ERDs. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Data Modeling Problems and Completion of an ERD
Now that you have practiced data modeling techniques, you’ll get to wrestle with narrative problem analyses and transformations for generating alternative database designs in Module 9. At the end of this module, you’ll learn guidelines for documentation and detection of design errors that will serve you well as you design databases for business situations. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Schema Conversion
Modules 6 to 9 covered conceptual data modeling, emphasizing precise usage of ERD notation, analysis of narrative problems, and generation of alternative designs. Modules 10 and 11 cover logical database design, the next step in the database development process. In Module 10, we’ll cover schema conversion, the first step in the logical database design phase. You will learn to convert an ERD into a table design that can be implemented on an SQL DBMS. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Normalization Concepts and Practice
Module 11 covers normalization, the second part of the logical database design process. Normalization provides tools to remove unwanted redundancy in a table design. You’ll discover the motivation for normalization, constraints to reason about unwanted redundancy, and rules that detect excessive redundancy in a table design. You’ll practice integrating and applying normalization techniques in the final lesson of this course. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Advanced Query Formulation with SQL
Module 12 provides optional advanced material on query formulation for learners who seek expert level knowledge and skills. Advanced query formulation can provide an edge in the workplace helping learners reach expert status with more value to an organization. Due to the advanced material, Module 12 provides Lesson 6 as honors with problems, quiz, assignment, and self evaluation. Module 12 covers four somewhat independent topics (outer joins, nested queries, membership exceptions, and containment exceptions) so learners can study these topics separately. These specialized problem areas, more difficult than combining tables with joins, provide important value to organizations when occurring in practice. To aid learners, Module 12 provides unique pedagogy with two problem-solving aids, text patterns to recognize elements of in problem statements and statement patterns to write template SELECT statements as an initial step to a complete SELECT statement. Lesson 5 provides a convenient summary of the text and statement patterns to provide learners a platform for the practice problems and assignment. The concept quiz provides an assessment of your understanding of the video lessons and associated notes. You should complete the concept quiz before starting practice problems and the graded assignment to ensure your conceptual understanding of the material.
Reviews
- 5 stars70.43%
- 4 stars22.20%
- 3 stars3.63%
- 2 stars1.43%
- 1 star2.29%
TOP REVIEWS FROM DATABASE MANAGEMENT ESSENTIALS
Course Is Good One must take this course in order to get background knowledge of DBMS essentials basic query formation and ER Diagrams ER Diagrams is one that must be carefully study.
This is a great course! THANK YOU VERY MUCH COURSERA AND UNIVERSITY OF COLORADO SYSTEM TEAM! Especially to the professor that taught here in this course. Thank you.
Of all the database courses I have ever done, this one covers the concepts best and exhaustively. I highly recommend it to all beginners and advanced users who want to review the basics.
The DBMS concepts explained in this course, such as ERD design, schema conversion and normalization are very good and has given a good foundational understanding to me.
About the Data Warehousing for Business Intelligence Specialization
Evaluate business needs, design a data warehouse, and integrate and visualize data using dashboards and visual analytics.
This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.
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