Develop a basic understanding of the elements of a Smart City and learn the impact of using metrics to measure its performance.
The concept of a Smart City holds much promise for improving the quality of life for city dwellers, but what exactly do we mean by “Smart City?” It means aligning information technologies to citizens’ needs in order to enhance their day-to-day lives by increasing efficiency, lowering costs, and engaging more directly with city dwellers. Smart City has emerged as an interdisciplinary concept that covers different aspects related to big cities, including the infrastructure that enables communication between channels and entities for overcoming economic backwardness in a community, and for addressing differences between various urban and suburban zones. A dynamic model is observed that can be analyzed as a complex system. Since a city can´t be visualized in only one perspective, this course tackles some of its individual sectors to obtain the key performance indicators that are essential to improving the quality of life, including: urbanization, communication, education, and economy. Quantifying that data is useful for estimating consumed resources, forecasting shortages, and correcting damage in a timely manner.
Once participants understand the importance of a Smart City and its classifications, they will learn to identify the impact of using metrics to measure its performance. A very important skill to develop is how to classify a metric and to identify its units or measure. The main focus of this course is to develop participants’ basic knowledge of a Smart City by being able to identify the parameters involved in its creation. Participants will also be able to define and establish the necessary metrics to measure the performance of a Smart City.
Recommended for students in their last year of urbanism, architecture, or information technologies, as well as professionals interested in Smart Cities and wishing to learn to measure their development.
In business, data and algorithms create economic value when they reduce uncertainty about financially important outcomes. This course teaches the concepts and mathematical methods behind the most powerful and universal metrics used by Data Scientists to evaluate the uncertainty-reduction – or information gain - predictive models provide. We focus on the two most common types of predictive model - binary classification and linear regression - and you will learn metrics to quantify for yourself the exact reduction in uncertainty each can offer. These metrics are applicable to any form of model that uses new information to improve predictions cast in the form of a known probability distribution – the standard way of representing forecasts in data science.
Learn more about the evolving, dynamic, and fastest growing segment of the advertising industry. Explore the evolution of online advertising from the beginnings of the Web, and how it has developed into a major sector of the multi-billion dollar advertising industry. We’ll cover the key players, as well as the multitude of different creative formats and executions and how those ads are delivered and tracked.
Find out about the major digital platforms, including search, social, and mobile, in terms of each marketplace, the key players, and marketing opportunities.
In a 2014 study of CEOs and CMOs, IBM found 63% wanted social strategies which generate business metrics while only 20% of businesses worldwide actually have them. This means strategies which not only grow your company’s social footprint but link to your sales and marketing systems. With this critical linkage, your social and mobile strategies will provide you with the ability to engage consumers at a 1-to-1 level and measure your social investments in terms of costs, revenues, profits and ROI. In this fifth MOOC of the Social Marketing Specialization - "The Business of Social" - you will learn how to transform your organization's social marketing from an untracked investment to an integral part of your company’s marketing strategy. You will learn the legal considerations involved as well as proven performance metrics and management tactics for success.
This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and improve project progress and software quality.
Organizations large and small are inundated with data about consumer choices. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. This course gives you the tools to measure brand and customer assets, perform regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns.
En este programa se hará, de manera holística, una revisión del uso e implementación de redes sociales. Se provee de un conocimiento sólido en el desarrollo de estrategias requeridas en una organización para involucrar a los consumidores y miembros de la misma en un ambiente de social listening.
Current and future public health is characterized by the increase of chronic and degenerative diseases, corresponding to the worldwide ageing of the population. The increasing prevalence of these conditions together with the long incubation period of the chronic diseases and the restless technological innovations, offer new opportunities to develop strategies for early diagnosis.