Business Analytics for Data-Driven Decision Making

Payment
Обучение бесплатное
Certificate
Сертификация платная
Duration
1 месяц
О курсе

Virtually all managerial and leadership positions in the digital economy increasingly rely on data-driven decision making. Recent studies have shown companies who adopt "Data-Driven Decision Management" achieve significant productivity gains over other firms.

Having a solid grasp of the end-to-end process of making effective decisions with data will give you an edge, both in performing such analyses yourself, as well as in effectively managing teams of business analysts and data scientists.

In this course, part of both the Digital Leadership and Digital Product Management MicroMasters programs, you will learn the tools and techniques to become a data-driven or "evidence-based" manager.

You will learn the process of reframing a business question as a data question, reasoning about what data might be of assistance and how to obtain it, integrating and cleaning the data, performing the analysis, deriving and communicating insights from the analysis, and building the managerial culture to operate in this way and create competitive advantages from enterprise data.

This course is unique in the sense that it aims squarely at the needs of a manager in an analytically focused enterprise by providing both a hands-on introduction to the concepts, methods and processes of business analytics as well as an introduction to the use of analytics as the basis for creating a competitive advantage.

Software Requirements

Completion of this course requires the use of Microsoft Power BI Desktop. Unfortunately, there is currently no version of Power BI Desktop for macOS or Linux operating systems. We encourage learners to secure access to a Windows environment, but if that is not possible, macOS and Linux users can run Power BI Desktop in a virtual Windows environment. The course provides steps for installing such an environment.

Программа
Business Analytics for Data-Driven Decision Making
Learn how to lead your firm to make better business decisions using analytic methods and create competitive advantages from data.
Что Вы изучите?
  • Key analytic technologies and techniques, e.g. predictive modeling and machine learning, and how these can play a role in managerial decision making
  • How to effectively manage the analytical processes and use the results of these processes as the basis for making informed, evidence-based decisions
  • How companies can use analytics as the basis for creating value
Лекторы
John W. Byers
John W. Byers
Professor of Computer Science Boston University
John is Professor of Computer Science at Boston University and Founding Chief Scientist of Cogo Labs, founded in 2005. He received his Ph.D. in Computer Science from UC Berkeley in 1997 and his B.A. from Cornell University in 1991.
Chris Dellarocas
Chris Dellarocas
Richard C. Shipley Professor of Information Systems Boston University
Chris is Richard C. Shipley Professor of Information Systems at the Questrom School of Business and Associate Provost for Digital Learning & Innovation at Boston University. He received his Ph.D. in Computer Science from MIT in 1996 and his Diploma in Electrical Engineering from the National Technical University of Athens, Greece in 1989.
Andrei Lapets
Andrei Lapets
Director of Research Development and Research Scientist, Hariri Institute for Computing Boston Unive...
Andrei is a Research Scientist and Director of Research Development within the Hariri Institute for Computing, Director of the Software & Application Innovation Lab, and Adjunct Assistant Professor within the Department of Computer Science, all at Boston University. He earned his A.B. and S.M. degrees from Harvard University and his Ph.D. in Computer Science from Boston University.
Платформа
EdX
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.