Loading Events

« All Events

  • This event has passed.

Introduction to SQL for Querying Databases

April 11 @ 1:00 pm - 4:00 pm


This workshop provides an overview of the utility and base SQL commands for working with data in a relational database. We’ll focus on querying data to get to know a database and answer questions, and combining data from separate tables.

Learning Objectives

After this workshop learners should be able to:

– Perform common SQL commands including sorting, filtering, calculating values, aggregating, combining data, and basic data cleaning (i.e., replace missing values);

– Combine commands to construct a query to answer a specific question;

– Identify the benefits of working with SQL;

– Access additional resources for using SQL in other software like R.


Learners should attend the “Introduction to databases and data storage technologies” workshop. No prior programming experience is necessary. Bring your laptop with SQLiteStudio installed and running.

Before coming to the workshop, please download the file ‘2022-04-04_intro-sql.zip’ from https://bit.ly/38h1T8e and unzip the file. It contains a data set and script that will be used during the workshop.

Software: SQLiteStudio

Install guide for SQLiteStudio: https://ucdavisdatalab.github.io/install_guides/sql-and-database-tools.html#sqlitestudio

Instructor: Nicholas Alonzo

Nicholas Alonzo received his B.S. in Applied Statistics with an emphasis in Computer Science from UC Davis. He currently serves as the Data Analytics and Programmer Manager for OLE Health, a non-profit community health center. He is passionate about helping others and is why he started Diversify Data Science, a social enterprise aimed to support underrepresented communities in data science succeed in their careers. His personal interests include social justice, mentorship, and pedagogy.

Location: Zoom. Click link below to APPLY to this workshop.

Apply to workshop: https://registration.genomecenter.ucdavis.edu/events/IntroSQLforQueryingDatabases/register/

Cost: Free of charge.


April 11
1:00 pm - 4:00 pm
Event Tags:
, , , ,