Modern scientific and commercial databases can contain massive volumes of data. Within these records lies important information that can only be effectively analyzed using techniques associated with the growing discipline of data mining. This powerful technology is capable of the extraction of predictive information from large amounts of data.
Data mining tools predict future trends and behaviors, allowing users to make proactive, knowledge-driven decisions. They explore databases for patterns, finding predictive information that experts may miss because it lies outside their expectations or their searching abilities. Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions. Increasing, data mining is becoming a fundamental component of all facets of business commerce, as well as Scientific discovery.
The Data Mining certificate is designed to provide individuals in business and scientific communities with the skills necessary to design, build, verify and test predictive data models.
Gain essential knowledge and skills:
In the news:
Program developed in collaboration with faculty from the San Diego Supercomputer Center at UC San Diego.
|Course Title||Course Number||Units||FA||WI||SP||SU|
|Prerequisite (General knowledge of statistics is recommended.)|
|Introduction to Statistics||O||O||O||O|
|Required Courses (All four (4) courses required. It is recommended you take the courses in the order listed.)|
|Data Mining I: Basic Methods and Techniques||O||O||O||O|
|Data Preparation for Data Mining||O||O||O||O|
|Data Mining II: Advanced Methods and Applications||O||O|
|Data Mining III||O||O|
|Elective Courses (Choose one)|
|Advanced Web Analytics: Harnessing the Predictive Power||X|
|Data Mining for Scientific Applications||O||O|
|Introduction to R Programming||O||O||O||O|
|Predictive Models with PMML||O||O|
|SAS Programming I: DATA Step and PROC Fundamentals||O||O||O||O|
|SAS Programming II: Advanced DATA Step Programming||O||O|
|L=La Jolla M=Mission Valley O=Online U=University City X=Location TBA|
From the 'Apply Now' button, login to your student account, complete the online application, and pay the application fee if applicable. It is preferable that you create an account before proceeding if you have not already done so.
Candidates are encouraged to apply in the certificate program as early as possible to take advantage of program benefits. See Certificate FAQs for more information.
|Application Fee: $0||Apply Now!|
|Contact: Science & Technology, 858-534-9358|
|Please note: Upon acceptance into the program, there will be a $60 certificate fee.|
Knowledge of statistics and probability theory is required. A foundation in a programming language and advanced mathematics such as linear algebra is recommended. Students with a solid foundation in statistics and probability theory may request a waiver of the Introduction to Statistics prerequisite by emailing email@example.com with a description of their related education and/or relevant use of these skills in the course of their employment prior to enrolling in Data Mining I.
To enroll in the certificate program, complete the application and, upon acceptance into the program, pay the $60 certificate fee. Although programs are open to all adult learners, UC San Diego Extension programs are designed to best serve college-prepared working professionals. Where program capacity is limited, applicants with this profile will receive preference for admission.
Data Mining I requires Introduction to Statistics or equivalent knowledge. There are four required classes and one elective in the Data Mining program. All required Data Mining courses following Data Mining I are designed to be taken sequentially and should be taken in the order shown on the course matrix, above.
You must earn a Pass (C-) or better grade in each course.
You may enroll in the certificate program at any time. However, it is recommended that you enroll as soon as possible. The program curriculum may be updated at any time; if certificate requirements change, you must adhere to the curriculum at the time of your enrollment into the certificate.
You may take any course without registering for the certificate, provided you have fulfilled any and all prerequisites for the course.