This course introduces "big data," data harvesting and cleaning, relational databases, structured query language (SQL), Data Warehousing, and online analytical processing (OLAP). The course emphasizes data structure, database design, data queries and data manipulation.
This course introduces "big data," data harvesting and cleaning, relational databases, structured query language (SQL), Data Warehousing, and online analytical processing (OLAP). The course emphasizes data structure, database design, data queries and data manipulation.
This individually customized course enables the student to independently study a topic of personal interest that is not ordinarily covered in the standard curriculum. The student confers with a willing qualified instructor to design the course including the course scope, learning methods, timetable, milestones, deliverables, and evaluation metrics. Typically, a final written report or paper irequried. To ensure progress, the student stays in contact with the instructor throughout the course of independent study.
Data mining is concerned with tools and techniques to numerically and visually explore vast data sets, classify data, predict outcomes, and identify associations, patterns, and exceptional events. Such capabilities enable firms to - for example -- better segment markets, evaluate and classify stocks, identify prospective customers, predict contingencies and catastrophes, identify defaulters and fraudulent transactions, measure churn, identify threats, perform service requests, and bundle goods and services. Such capabilities are critical in global, competitive business settings.
In the course, students will gain skills useful in any field which requires data analysis to inform decision making. Students will acquire hands-on experience with Analytics and PI platforms commonly used in industry such as Tableau, PowerBI, and Qlik. The primary focus of the course will be on preparing interactive dashboards using best practice visualization techniques and communicating analysis findings to stakeholders and senior decision makers.
In the course, students will gain skills useful in any field which requires data analysis to inform decision making. Students will acquire hands-on experience with Analytics and PI platforms commonly used in industry such as Tableau, PowerBI, and Qlik. The primary focus of the course will be on preparing interactive dashboards using best practice visualization techniques and communicating analysis findings to stakeholders and senior decision makers.
Basic anatomy and physiology integrated to prepare freshman students for nursing. Lecture 3 hours, laboratory 1 hour. (THIS COURSE WILL HAVE A LABORATORY FEE).
Basic anatomy and physiology integrated to prepare freshman students for nursing. Lecture 3 hours, laboratory 1 hour. (THIS COURSE WILL HAVE A LABORATORY FEE).
The structure of the human body will be examined at various levels: cellular, tissues and organ systems. The gross anatomical arrangement of the body will be studied in a system-by-system format relating structure to function and the fundamentals of human embryology/malformation with adult anatomy. The central nervous system will be emphasized. The course includes an online laboratory component for each system covered. Prereq: Introductory biology or zoology.
The structure of the human body will be examined at various levels: cellular, tissues and organ systems. The gross anatomical arrangement of the body will be studied in a system-by-system format relating structure to function and the fundamentals of human embryology/malformation with adult anatomy. The central nervous system will be emphasized. The course includes an online laboratory component for each system covered. Prereq: Introductory biology or zoology.
