SQL Bootcamp (PostgreSQL) (Live Online)

Learn PostgreSQL to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering the results. Extract actionable insights from data sets in this hands-on training. Turn the information in databases into useful insights by writing SQL queries. Once you understand the basics of viewing tables, columns, and rows, you’ll learn how to code queries to extract the specific information you want. Learn how to filter the data, group it, and turn raw data into insights. Combine information from multiple tables using join statements. You’ll also learn more advanced techniques like aggregate functions, subqueries, and how to use functions with parameters. In this hands-on course you’ll learn PostgreSQL and the free DBeaver app to explore the database and execute SQL queries you write. The concepts you’ll learn on PostgreSQL can be applied to other flavors of SQL (such as Microsoft SQL Server, MySQL, etc.) with minor syntax differences. Why Learn SQL? With SQL you can answer questions from information stored in a database (the ultimate system of storing data for most companies). As nearly every industry is becoming more data-driven, having this skill will give you a larger role in decision-making wherever you work. SQL is vital to anyone in business or any job that involves working with data: business analysts, data analysts, data scientists, web developers, business people, and many others. What You’ll Learn at a Glance Explore information stored in a database (tables, columns, rows, etc.) using the graphical interface of DBeaver (a popular free database app) Write SQL queries to retrieve data from tables in a database Combine information from multiple tables with JOIN statements Filter data, group it, and sort it to extract the specific info you need Advanced techniques like Subqueries, String Functions, and IF‑Else logic with CASE How to use Views and Functions with parameters instead of directly querying tables Learn more about SQL Bootcamp (PostgreSQL) at NYIM Training.