EdX

Intermediate PostgreSQL (edX)

Intermediate PostgreSQL (edX)

This second course in PostgreSQL for Everybody explores a wide range of SQL techniques to aggregate and transact data in PostgreSQL.This course also explores handling, reading, and parsing data with PostgreSQL and working with text in databases with regular expressions. This course covers a wide range of SQL techniques, beyond basic CRUD (Create, Read, Update, and Delete) operations in PostgreSQL. You will learn the specifics of aggregation, transactions, reading and parsing CSV files and inserting data into a database.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

You’ll also take a look at how PostgreSQL handles and indexes text data.
Specifically, students will do assignments that alter table schemas, create stored procedures, construct advanced queries, explore sorting and grouping query data, and techniques for working with text in databases including regular expressions.
This course is part of the PostgreSQL for Everybody Professional Certificate.

What you'll learn

  • Utilize SQL commands for editing tables in a PostgreSQL database and produce properly normalized tables from CSV files.
  • Appropriately handle text and dates in databases and create stored procedures.
  • Identify hashtag algorithm and their attributes.
  • Construct regular expressions to select rows that match a pattern.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Teaching Impacts of Technology: Workplace of the Future (Coursera) Coursera
University of California, San Diego

Teaching Impacts of Technology: Workplace of the Future (Coursera)

In this course you’ll focus on how the Internet has enabled new careers and changed expectations in traditional work settings, creating a new vision for the workplace of the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.

Jun 3rd 2026
4 Weeks
Introduction to SQL (edX) EdX
IBM

Introduction to SQL (edX)

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science. Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases.

Self Paced
Self-Paced
Analyze Data to Answer Questions (Coursera) Coursera
Google

Analyze Data to Answer Questions (Coursera)

This is the fifth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations on your data to complete business objectives.

Jun 2nd 2026
4 Weeks
Data Warehousing and BI Analytics (edX) EdX
IBM

Data Warehousing and BI Analytics (edX)

This course introduces you to designing, implementing and populating a data warehouse and analyzing its data using SQL & Business Intelligence (BI) tools. Today’s businesses are investing significantly in capabilities to harness the massive amounts of data that fuel Business Intelligence (BI). Working knowledge of Data Warehouses and BI Analytics tools are a crucial skill for Data Engineers, Data Warehousing Specialists and BI Analysts, making who are amongst, the most valued resources for organizations.

Self Paced
Self-Paced
NoSQL Databases (edX) EdX
University System of Maryland - USM,USMx,University of Maryland Baltimore County,UMBC

NoSQL Databases (edX)

Build a foundation of the four NoSQL (non-relational) databases: Document-oriented, Key-Value Pair, Column-oriented, and Graph. This NoSQL database course provides you with an introduction, overview, and history of NoSQL databases (non-relational databases). In this course you will explore in detail the four types of NoSQL databases (e.g., Document-oriented, Key-Value Pair, Column-oriented, and Graph).

Sep 19th 2022
5-12 Weeks
Smart Analytics, Machine Learning, and AI on Google Cloud (edX) EdX
Google Cloud

Smart Analytics, Machine Learning, and AI on Google Cloud (edX)

This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required.

Self Paced
Self-Paced
Fundamentos TIC para profesionales de negocios: Programación (edX) EdX
Universitat Politècnica de València,UPValenciaX

Fundamentos TIC para profesionales de negocios: Programación (edX)

¿Tienes que trabajar con las Tecnologías de la Información y te faltan conocimientos? Conoce los fundamentos de la programación software. Este curso forma parte de una serie de 5 cursos de introducción al uso de sistemas de información en las empresas que te introducirá en el apasionante mundo de las TIC.

Self Paced
Self-Paced
Introducción a SQL y bases de datos relacionales (edX) EdX
Universitat Politècnica de València,UPValenciaX

Introducción a SQL y bases de datos relacionales (edX)

Conoce las bases de datos relaciones y aprende SQL, el lenguaje estándar usado en el software empresarial que te permitirá consultarlas y extraer de ellas la información que necesites. El mayor activo de las empresas actuales son sus datos, datos que, mayoritariamente se alojan en bases de datos relacionales en línea. Prácticamente todos los sistemas de gestión de bases de datos relacionales utilizados en la actualidad utilizan SQL como herramienta para manipular y consultar los datos que contienen.

Self Paced
Self-Paced