ESSEC Business School
4 weeks to complete at 10 hours a week
This specialization is designed to help students, business analysts, and data scientists apply statistical knowledge and techniques to business contexts. You'll learn how to use R to develop business intelligence insights and present them in a compelling way to enable smart and sustainable business decisions.
This specialization is designed for graduate students and professionals interested in practical applications of business analytics techniques and big data, with a good IT and statistical background. You'll need a strong background in R and analytics to complete the coursework, and some experience with machine learning and SQL will also be useful.
The specialization covers a wide variety of analytics approaches in different industry domains, including predicting and forecasting events, statistical customer segmentation, calculating customer scores and lifetime value, and more. You'll also learn how to effectively present your analyses to stakeholders. The third course and capstone project are designed in partnership with Accenture and cover applications in media, communications, public service, and other sectors.
ESSEC Business School has been developing state-of-the-art educational programs for over a century, with a focus on preparing future managers to reconcile personal interests with collective responsibility and weigh economic challenges against social costs. The school is partnering with leading industry experts from Accenture to deliver this specialization, ensuring you learn practical, real-world applications of business analytics.
By completing this specialization, you'll be a fully accomplished expert in big data management, with a robust understanding of how data can be used to leverage strategic value. You'll be comfortable qualifying research objectives, combining and manipulating data sets, and interpreting them. You'll be prepared to present your interpretations and value case to potential stakeholders successfully.
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