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음악교육대학원학업계획서 음악대학원연구계획서 합격샘플+면접 음악교육학과대학원자기소개서,서울대학교음악교육대학원 학업계획서,이화여대음악대학원 연세대
천잉전(陳映眞)이 본 시련의 타이완 속에서 꽃핀 향토문학
미국의 가족지원정책
미국의 가족지원정책
한국과 미국의 장애인 가족지원정책 비교(한국,미국,장애인 가족지원정책, 한국장애인, 미국장애인, 외국장애인, 서비스, 장애인가정, 해외장애가정)
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미국 대학원 지원_SOP (Statement Of Purpose)_Grad Admissions_Northwestern_Analytics_Proofreading Service Verified에 대한 자료입니다.
본문내용
What intrigues me most about analytics is the concept of data discovery, namely, discovering insights and applying analytics to develop data based products, services, or features. I find the concept of data discovery especially fascinating because I realized during my work that there is no position at eTEC that performs both a supporting role and is directly involved with developing products. As a data scientist, I could take on both roles, allowing me to make greater contributions to the business by not only reducing costs, but also creating new lines of revenue through product development, which is the type of work that I hope to focus on during my career. To sum, while pursuing my degree in analytics, I would like to concentrate on learning methods to incorporate statistical, mathematical, and computer-based skills that would optimize the decision-making process and business operation efficiency, and lead to creative ideas to develop viable data based products. The greatest strength of Northwesterns MSIA program lies in its curriculum that incorporates computational disciplines with management skills and focuses on industrial experience. This will help me gain the knowledge I need to satisfy my career goal by integrating technical skills with management expertise. The practicum projects and internship opportunities with leading corporations will allow me to better understand the various approaches they take toward analytics and data science, what they hope to gain from them and how they expect them to be applied. In the end, I hope to be able to connect with companies that find my career goal in line with their vision for analytics.
With IoT (Internet of Things) technology, I believe the future of analytics over the next five years is heading to the development of Smart Cities. The connection between devices within the city, networks, and people will enable us to monitor human and machine behavior in real-time, generating a consistent flow of Big Data for data scientists to analyze. The outcomes of the applications of analytics to the city, such as enhanced security and optimized energy use, will be so enormous that most of traditional cities will be transformed into Smart Cities. Hence, the field of analytics will flourish along with the development of IoT and Smart Cities.
분야
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