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  • Berkeley Global

Data Mining Using SQL

COMPSCI X407.1

40638
Delivery Options Online

Learn how to analyze and mine data with the Structured Query Language (SQL). Once you’ve gained the fundamentals of SQL, you advance into the uses of SQL data analysis and data mining with real applications. You use Microsoft Excel to further analyze, manipulate and present your data exploration and data mining findings in tabular and graphical formats. This course is ideal if you want to analyze data with SQL queries and learn statistical methods to test the results. Learn more by e-mailing the instructor at mkremer@berkeley.edu or by visiting the instructor's website.

Prerequisites:

Recommended

Fundamental knowledge/experience of SQL or the following courses:

  • Introduction to SQL COMPSCI X451.1
  • Managing Data(bases) using SQL EL ENG X401.9

Course Outline

Expand or collapse section

Course Objectives

  • Construct SQL queries for data exploration, analysis, mining and statistical testing of results
  • Develop advanced queries and calculations using SQL, as well as further analyze and present these results using Excel
  • Learn how to perform data analysis using SQL and test the statistical significance of the resulting measurements using different statistical methods
  • Learn and practice statistical methods such as null hypothesis, confidence intervals, normal distribution, calculation of probabilities from sample data, difference of proportion

What You Learn

  • SQL queries
  • SELECT commands UNION, INTERSECT and EXCEPT
  • Nested queries
  • Aggregate operators
  • Null values
  • Advanced SQL features
  • Data analysis using dataflows
  • SQL queries and subqueries
  • Data exploration
  • Charting with Excel String values
  • Data mining models in SQL
  • Directed data mining
  • Statistical concepts
  • Chi-square

How You Learn

  • Lectures
  • Group discussions
  • Review of homework problems
  • Assigned textbook chapters
  • Homework assignments

Is This Course Right for You?

If you want to explore, analyze and mine data with SQL queries, as well as learn statistical testing of data analysis results, this course is ideal. It is geared to heavy data users, scientists, data modelers, business intelligence professionals, business analysis professionals, dashboard designers, DBAs, quantitative/computational financial engineers and system administrators.

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Sections

Section 038

Jun 15 to Aug 17

Type: Live Online

Instructor:

  • Michael C. Kremer

Cost: $995.00

See section 038 Details

Type Live Online

Days

Th

Time

6:00PM to 9:00PM Pacific Time

Dates

Jun 15, 2023 to Aug 17, 2023

Location

Live Online

Schedule and Location

View Details

Instructional Hours

30.0

Location

Live Online

Delivery Options

Online

Available for Credit

2 semester units

Section Notes

Students will receive access to the course in Canvas on the course start date. Zoom meeting information will be emailed to enrolled students before the first class meeting and posted to the announcements page in Canvas.

Summer enrollment opens on March 20!

This course applies to the following programs:

Professional Program in Data Administration and Management

Expand or collapse section

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

Data Management Courses

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

Learn More About this Program

Certificate Program in Software Development and Programming

Expand or collapse section

Core Course

  • Introduction to Computers and Programming

Software Development Lifecycle Courses

  • Software Project Management
  • Software Quality Assurance

Data and Databases Courses

  • Introduction to Data Analytics
  • Introduction to Databases
  • Data Mining Using SQL

Programming Courses

  • First Course in Java
  • Introduction to C Language Programming
  • Programming Python

Operations, Networking and Security Courses

  • Introduction to Cybersecurity
  • Fundamentals of Data Communications and Networking

Web Development Courses

  • JavaScript and jQuery: An Introduction
  • Fundamentals of Website Development

Current Topics Courses

  • Introduction to Quantum Computing With Applications
  • Blockchain Fundamentals

Learn More About this Program

Notes

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


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: 115

Note: You do not need to submit test scores.

Extension

1995 University Ave., Suite 130

Berkeley, CA 94704-7000

extension@berkeley.edu

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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.

COMPSCI X407.1 - 038 - Data Mining Using SQL

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