SQL Classes Live Online

In this 3-day bootcamp, beginners will be transformed into confident SQL users who can write queries, manipulate tables, and store advanced code. Participants will start by learning about relational databases and SQL fundamentals and will conclude the program having mastered complex retrieval tasks and storing complex code. Topics include composing queries, creating your SQL databases, automating workflow with stored procedures, and step-by-step exercises that will provide an efficient and thorough approach to mastering SQL. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC.

In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregating and joining. Topics include SQL GUI basics, fundamental to advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and applies to other relational databases, including SQL Server and MySQL. Participants can retake the course for free within one year.

In this course, participants will learn the fundamentals of relational databases and begin writing SQL queries to extract data from databases. They will receive essential training in the basics of the three core components of SQL: relational DBMS, SQL, and Microsoft SQL Server. They will work through practical hands-on exercises, writing real SQL code and reinforcing their knowledge of database architecture along the way. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC.

This 3-day SQL Bootcamp consists of three courses (Levels 1-3) and helps students with little to no prior SQL experience go from novice to pro in a couple of days. The first course, SQL Level 1, covers the basics, including an introduction to SQL and relational databases, the graphical user interface (GUI), and some of the coding basics. The second course, SQL Level 2, introduces students to SQL queries and subqueries, using JOINS, math and logic functions, as well as variables and user functions. The third and final course, SQL Level 3, walks students through importing and exporting data, building control structures, temporary tables, and stored procedures. Each course concludes with student labs to help cement the skills students learn in each course.

This 1-day SQL Level 1 course is intended for those who have little to no prior SQL experience looking to learn the basics of relational database management. This course teaches the most important basic concepts to make students feel at ease when working with SQL. There are several topics covered in this course, including a broad introduction to SQL, an overview of the Graphical User Interface (GUI), and a significant focus on code, which teaches students about basic clauses, aggregations, joins, and filters. The course also includes student lab time to review and solidify the major topics covered in the course.

This 1-day SQL course is intended for those with some general SQL experience looking to build up their SQL skills and gain valuable new knowledge about relational database management. This course teaches the many intermediate concepts to increase comfort level when working with SQL. There are several topics covered in this course, including how and when to use various JOINS, how to save queries programmatically, an introduction to subqueries and using subqueries with tables, as well as math functions and other logic statements that are essential for intermediate level SQL users. The course also includes student lab time to help review and solidify the significant topics covered in the course.

This 1-day SQL course is intended for those who are comfortable with SQL and relational databases but who are looking to learn some advanced topics. This course teaches many advanced concepts to increase the students’ comfort level when working with SQL. Advanced topics include how to import and export data and building control structures. This course also includes optional areas of study, including data conversion functions, temporary tables, and working with stored procedures.

In this course, participants with a basic knowledge of SQL learn the next level of querying, including subqueries, logic statements, joins, and more. They will master views and data conversions and develop their skills by writing advanced functions to gain more control in their relational DBMS (Database Management System). Students will learn the tools and techniques related to the following commands: Create Views, Subqueries, and Math Functions & Logic Statements. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC. SQL proficiency equivalent to a beginner level course is required, including basic querying, filtering, and aggregation.

In this course, participants at an intermediate skill level with SQL will master advanced processes and gain the skills necessary for database management. They will learn advanced processes and controls, create stored procedures, connect to external data sources such as Microsoft Applications applications, and manipulate data with constraints. This senior-level course will focus on the following core tasks: creating a database, importing data from external sources, and building database infrastructure and constraints. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling available online or in NYC. SQL proficiency equivalent to an intermediate level is required, including knowledge of outer joins, subqueries, and logic statements.

In the Intro to Data Analytics course, students learn how to use Excel, SQL, and Power BI for data analysis and data visualization. This course prepares students for entry-level data science and data analyst roles.