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  • Berkeley Global

Introduction to SQL

COMPSCI X451.1

27785620
Delivery Options Online

Get in-depth training of the core Structured Query Language (SQL) designed for beginners, focusing on Data Query Language (DQL) and Data Manipulation Language (DML). Learn and practice how to filter data, join tables, write aggregate queries, subqueries, and other complex SQL statements. SQL is the standard language used to query and update databases, and is also used to perform some data analysis, making it useful for professionals working with data. 

Prerequisites:

There are no prerequisites for this course.

Learner Outcomes

On successful completion, you will be able to:

  • Understand the structure of the SQL SELECT command
  • Write basic SQL SELECT statements to query data
  • Perform and analyze SQL expressions, table joins, aggregate queries, and subqueries
  • Manipulate database data using DML SQL queries
  • Explain data analysis/mining SQL commands
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Sections

Section 009

Start Anytime

Type: Online, Start Anytime

Instructor:

  • Michael C. Kremer

Cost: $995.00

See section 009 Details

Type Online, Start Anytime

Dates
Start Now, you have 180 days to complete this course once enrolled.

Delivery Options

Online

Available for Credit

2 semester units

Section Notes

Online, enroll anytime. This continuous enrollment course begins when you enroll. You have a minimum of 60 days and a maximum of 180 days to complete the course. 

You will need to install the free Oracle Express software and the Student Schema database in order to complete the assignments. Detailed instructions and a cloud alternative are available in the Learning Management System.

Summer 2025 enrollment opens on March 17!

This course applies to the following programs:

Professional Program in Data Analysis

Expand or collapse section

SQL and Databases

  • Introduction to SQL
  • Introduction to Databases
  • Data Mining Using SQL
  • Data Warehousing and Business Intelligence

Visualization

  • Data Visualization

Analytics

  • Introduction to Data Analytics
  • Python for Data Analysis
  • R for Data Analysis

Data Analytics Capstone

  • Data Analytics Capstone

Learn More About this Program

Notes

Departmental contact: extension-techeng@berkeley.edu

Instructional Types

Live Online
Live Online courses provide an interactive learning experience with scheduled synchronous online sessions held via Zoom video conferencing (Pacific Time). Learn more about the Live Online format.
Online, Start Anytime
Continuous enrollment course begins when you enroll. You have a minimum of 90 days and a maximum of 180 days to complete the course.
Online, Fixed Date
Enroll in this course by its start date and complete it by its specified end date. There are no live sessions, but plenty of opportunities to collaborate with your classmates and instructor.
Classroom
Take classes in-person at one of our buildings or partner locations.

English Language Proficiency Requirements

All of our courses are taught in English. If English is not your first language, please use the following test scores as guides in order to be successful:

  • TOEFL: 90
  • IELTS Academic Format: 7
  • DAAD: C1
  • TEM-4 or TEM-8: Level 70
  • Duolingo: 125

Note: You do not need to submit test scores.

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Berkeley, CA 94704-7000

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The University of California, Berkeley, is accredited by the Western Association of Schools and Colleges (WASC). UC Berkeley Extension—like all other UC Berkeley schools, colleges and departments—is accredited by WASC through the University.

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Course Fee

Michael C. Kremer

Michael C. Kremer, M.S., Ph.D., Extension Honored Instructor, is an application developer at the Federal Reserve Bank San Francisco. He was previously a computer systems engineer with Lawrence Berkeley National Laboratory. He has more than 25 years of experience in the computer programming industry, from mainframe and supercomputer scientific programming to designing and programming databases to developing applications. He has been teaching Microsoft Access courses, database and application courses at UC Berkeley Extension for over 15 years. Additional information can be found by e-mailing the instructor at mkremer@berkeley.edu.

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