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As part of our experiential, career-focused education, Nichols College offers the Certificate in Analytics. This program is designed to allow students with an interest in analytics to pursue their chosen undergraduate academic program at the same time as earning the certificate. Analytics is all about getting value out of data. With this program, you’ll learn how to collect it, analyze it, and transform it into something actionable. Students will have the opportunity to complete projects and coursework with industry veterans, including from Google Analytics Academy. Students can complete the program regardless of their major, giving you a great competitive advantage in one of today’s fastest growing job markets.
The certificate requires 12 credits of coursework, consisting of four three-credit courses. Depending on the student’s concentration, up to two courses may double-count toward their academic program as well as toward the certificate program. Students are strongly encouraged to take ITM 209 as a prerequisite for these courses. The coursework covers the technology that powers analytics and an Advanced Business Analytics class where students learn how to turn data into decisions. The remaining two courses can be selected from analytics courses in a variety of disciplines.
Analytics is the process of getting value out of data. It explains how seemingly mundane data points, when combined, can provide insights into habits, processes, and patterns. We live in a world overflowing with data, and only recently has technology reached the point where anyone can conduct this type of analysis without the aid of supercomputers or consulting firms.
This course covers “D2D”, or Data to Decisions. Specifically, this means we will learn what to collect, how to collect it, and how to transform it into actionable information. It is also focused on solving real business problems, which is the most practical application for Nichols business students.
This course will introduce modern techniques of computational statistics for practical analysis of data utilizing the R programming language. Data analysis and interpretation will be emphasized, rather than statistical theory. Real world data sets will be used to illustrate statistical principles.
Offered Spring 2018This course will cover some of the non-technical aspects of cybersecurity. Students will be able to trace historical developments of cybersecurity as well as become familiar with cybersecurity theory. Students will also learn about cybersecurity law and policy, namely national and international laws and policies that guide cybersecurity and cyberspace. Some of the topics will include cybercrime, intellectual property, Internet fraud, cyberwarfare and homeland security (e.g. Critical Infrastructure and Key Resources, NRF, NIMS, etc.) as well as about organizations and entities involved in the formulation of such laws and policies. Students will also examine cybercrime laws and investigations through use of real-life case scenarios and examples. A focus will be placed on the ethics of Internet hacking as well as operations security from an enemy/hacker’s viewpoint, which is necessary to develop and apply countermeasures accordingly. At the end of the semester, students will be able to identify and describe key, non-technical aspects of cybersecurity as well as develop reflective and critical skills for thinking about creative solutions to most pressing issues in cybersecurity.
ITM 202 prepares students to analyze data and solve real-life business problems, using spreadsheets, databases, and other technology tools. This course introduces students to the problem solving, decision-making, and presentation skills they will need to be successful both at the College and in a business environment. Using intermediate/advanced functions in Excel and beginner/intermediate functions in Microsoft Access, students will complete exercises and case studies to solve problems in a variety of business disciplines that include accounting, finance, marketing, management, and information systems.