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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), focusing on Data Query Language (DQL) and Data Manipulation Language (DML). You learn the concepts of SQL, including writing complex SQL statements, and gain a basic understanding of database operations.

Course Outline

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Course Objectives

  • Understand basic SQL language concepts and structure.
  • Construct SQL SELECT statements.
  • Understand SQL data types and functions.
  • Perform complex filtering, aggregate queries and multiple table joins.
  • Use SQL subqueries and complex DML queries.
  • Create advanced SQL queries and use SQL for data analysis and mining.

What You Learn

  • SQL SELECT
  • Data types
  • Functions
  • Filtering
  • Intersections, difference and union of sets
  • Multiple table joins
  • INNER, OUTER, NONEQUI and SELF joins
  • Aggregate functions
  • Subqueries
  • SQLDML
  • Insert, update, delete
  • Hierarchical SQL
  • Regular expressions
  • Data analysis and data mining
  • OLAP SQL

How You Learn

  • Reading assignments
  • Quizzes
  • Homework assignments
  • Final project

Is This Course Right for You?

If you want to gain a mastery of SQL in order to query and update databases, as well as perform data analysis, you should enroll.

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Sections

Section 005

Start Anytime Online

Course Fee(s)

Course Fee credit (2 units)

$895.00


Type Online, Start Anytime

Enroll anytime and progress through the curriculum at your own pace.

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

Delivery Options

Online

Available for Credit

2 semester units

Instructors

  • Michael C. Kremer

Section Notes

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

This course applies to the following programs:

Certificate Program in Data Science

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Programming

  • Introduction to R: Data Exploration and Visualization
  • Python for Data Analysis and Scientific Computing
  • Introduction to Data Science
  • Introduction to Data Science Using R

Machine Learning

  • Introduction to Machine Learning Using Python
  • Machine Learning and Deep Learning With Spark
  • Practical Machine Learning (With R)
  • Machine Learning With TensorFlow

Core Courses

  • Practical Statistics for Data Scientists Using R
  • Introduction to Big Data
  • Data Science Principles and Practice Using Python
  • Data Visualization

Electives

  • Introduction to Databases
  • Introduction to SQL

Learn More About this Program

Professional Program in Data Administration and Management

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Required Courses

  • Introduction to SQL
  • Business Intelligence With SQL Server
  • Data Mining Using SQL
  • Managing Data(bases) Using SQL

Electives

  • Introduction to Databases
  • Introduction to Big Data

Learn More About this Program

Professional Program in Data Analysis

Expand or collapse section

Data Analysis Courses

  • Introduction to Data Analytics
  • Introduction to R: Data Exploration and Visualization
  • Python for Data Analysis and Scientific Computing
  • Data Analytics and Visualization
  • Practical Statistics for Data Scientists Using R

SAS Analytics Courses

Data Management Courses

  • Introduction to Databases
  • Introduction to SQL
  • Business Intelligence With SQL Server
  • Data Mining Using SQL

Learn More About this Program

Notes

Departmental contact: extension-techeng@berkeley.edu | (510) 642-4151

Prerequisites

Recommended

  • Ability to program in at least one high-level programming language such as Python, Java, Ruby, JavaScript, C or C++. Need to fulfill this prereq? Take a course in:
    • Introduction to Computers and Programming COMPSCI X444.4
    • Programming Python COMPSCI X434
    • First Course in Java EL ENG X429.9
    • JavaScript and jQuery: An Introduction COMPSCI X452.1
    • Introduction to C Language Programming EL ENG X24
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Course Fee

Online

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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