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.
Program developed in collaboration with faculty from the San Diego Supercomputer Center at UC San Diego.
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|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)|
|Data Mining for Scientific Applications||O||O|
|Introduction to R Programming||O||O||O||O|
|Predictive Models with PMML||L|
|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|
Certificate registration is required to complete the program. Candidates are encouraged to register in the certificate program as early as possible to take advantage of program benefits. See Certificate FAQs for more information.
|Certificate Section ID:||100570||Add to Cart|
|Contact:||Technology, (858) 534-9356|
Knowledge of statistics and probability theory is required. A foundation in a programming language and advanced mathematics such as linear algebra is recommended.