Professor: | Sam Sultan [sam.sultan@nyu.edu] |
Class website: | [workshop.sps.nyu.edu/~sultans/sql] (or) [samsultan.com/sql/] |
Course Days: | Thursdays, September 19 - November 21 |
Course Hours: | 6:30pm - 9:30pm |
This course will be delivered online via Zoom software |
Announcement(s): |
+syllabus +course outline |
+grades & evaluation +student listing |
+examples & demos |
+student feedback +student evaluation & comments |
Structured Query Language (SQL) is the language used to manipulate data in relational databases. Learn to use SQL to select, update, insert, and delete data from database tables, and acquire hands-on experience with both Oracle and MySQL. Learn how to select data from multiple tables using joins and unions, understand how to create sub-queries to develop more complex retrieval capabilities, and use DDL to create your own database and to populate tables. In addition, learn about database design, table relationships, and normalization techniques. This course prepares you to work with any relational database, such as Oracle, MySQL, SQL Server, PostgreSQL, SQLite, and even the relational aspect of Snowflake.
The objective of this course is to teach you the fundamentals behind the SQL language. We will discuss the concepts of databases in general, and more specifically the relational database model. We'll examine the various database engines that support this model. We will learn about SQL (Structured Query language) both as an ANSI standard language and more some vendor specific extensions. We will also use DDL (Data Definition Language) to create and delete database objects, and DML (Data Manipulation Language) to access and manipulate those objects.
This course will teach you all relevant SQL concepts more from an ANSI SQL2 standard point of view. Some topics, and examples however will need to be discussed with a specific database engine in mind. This course will cover SQL from both an Oracle and a MySQL point of view
The focus of the course will be on the following topics:
Required Books -
Non-Evaluative and Pass/Fail Grades
If you are not interested in receiving a grade, and you simply require an NE (non-evaluative) or P/F (pass/fail) grade,
please fill out the appropriate form listed. Neither an NE nor a P/F grade will count toward an NYU certificate.
Please do not negotiate for a better grade. If you are expecting to receive a grade of an "A" at the end of the semester, then I expect you to attend all sessions (unless I am notified ahead of time), to participate in these sessions, to keep up with the class reading material, and to complete your homework assigments. This will ensure that you stay current with the class content, and will ensure that you get a good grade on your test(s), project as well as your final grade.
Please Note: The Office of the University Registrar maintains individual records of students enrolled in NYU and is the only
department authorized to record an official grade. Final grades are reported on NYU-Albert.
To receive your final grade at the end of the semester,
follow these steps:
DATE | SESSION | TOPIC[s] COVERED |
  | ||
[Week 1] | 1 |
Introduction to databases What is a database? The History of databases The various database models Hierarchical databases Network databases Relational databases Object & Object relational databases NoSQL and Big Data databases |
---|---|---|
Reading: | Chapter 1 | |
  | ||
[Week 2] | 2 |
Introduction to SQL DDL - Data Definition Language DML - Data Manipulation Language The SELECT statement Choosing distinct values The WHERE clause Comparison operators Comparing with LIKE Logical operators, AND, OR, NOT Numeric operators Creating computational columns |
Reading: | Chapters 2, 3 | |
  | ||
[Week 3] | 3 |
Selecting data from multiple tables The join construct Old vs. new join syntax Normal or Inner join Cross join - Cartesian product Outer join vs. Inner join What is a Self Join Set operators, UNION, INTERSECT, MINUS Combining Join with UNION Performance considerations |
Reading: | Chapter 5 | |
  | ||
[Week 4] | 4 |
SQL built-in Functions Numeric functions - CEIL, FLOOR, ROUND, TRUNCATE, etc. String functions - CONCAT, LENGTH, SUBSTR, REPLACE, etc. The CASE expression, 2 flavors Date functions - MySQL and Oracle Current date, date manipulation, date formatting |
Reading: | Chapter 7 (Skip Aggregate functions), 12 | |
  | ||
[Week 5] | 5 |
Aggregating and Grouping Aggregate functions - SUM, COUNT, AVG, MIN, MAX The GROUP BY clause The HAVING clause Finding Duplicate Records GROUP BY with ROLLUP feature The ORDER BY clause Pivoting rows into columns |
Reading: | Chapters 7 (Aggregate functions), 4 | |
  | ||
[Week 6] | 6 |
Using SELECT Sub-Queries Subqueries as filters Subqueries as inline views Subqueries as additional derived columns Correlated Subqueries Where [NOT} EXISTS in Subquery Finding the last record from a set Pivoting rows into columns |
Reading: | Chapter 6 | |
  | ||
[Week 7] | 7 |
Database Design The Logical and Physical Model Understanding data normalization First normal form Second normal form Third normal form Pros & cons of data normalization Denormalizing data Entity relationships One-to-one relationship One-to-many relationship Many-to-many relationship Designing Self-join relationship Designing for an ODS (Reporting Database) Designing for a Data Warehouse |
Reading: | Chapter 8 | |
  | ||
[Week 8] | 8a |
Creating database objects What is a primary key? What is a foreign key? What is an index? Creating tables SQL data types Adding a primary key Adding constraints Creating Indexes Altering table definition Droping tables MySql Auto Increment Oracle Sequences |
Reading: | Chapters 9, 10, 15 | |
  | ||
8b |
Manipulating data in tables Adding data with the INSERT statement INSERT with a SELECT statement Changing data with the UPDATE statement UPDATE with a SELECT statement Removing data with the DELETE statement DELETE with a SELECT statement The TRUNCATE statement The REPLACE statement (MySql) The MERGE statement (Oracle) | |
Reading: | Chapter 11 | |
  | ||
[Week 9] | 9 |
Advanced Topics Creating and using views Using the Data Dictionary - MySql Using the Data Dictionary - Oracle The show statement (MySql) Loading data from a file Unloading data into a file Importing a database or table(s) Exporting a database of table(s) |
Reading: | Chapters 13, 18 | |
  | ||
[Week 10] | 10 | - Final Exam - |