Embark on a transformative journey with the Strategic Business Analytics specialization, designed for students, business analysts, and data scientists. This comprehensive program equips you with the essential statistical knowledge and techniques to tackle real-world business challenges. Delve into hands-on case studies, including predictive analytics, customer segmentation, and business intelligence insights.
Throughout this specialization, you will master a wide array of analytics approaches across diverse industry domains, enhancing your ability to present compelling insights and drive sustainable business decisions. With a focus on leveraging statistical techniques in R, you'll earn a Specialization Certificate from ESSEC Business School and learn from leading professors in business analytics and marketing.
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Explore foundational modules on strategic business analytics, marketing analytics, real-life case studies with Accenture, and a capstone project to create value from open data.
Foundations of strategic business analytics: This module provides a comprehensive overview of business analytics applications, from marketing to supply chain and HR analytics. You'll gain hands-on experience with data analytics techniques, mastering the skills needed to leverage value from data and present actionable insights to drive business decisions.
Foundations of marketing analytics: Dive into the domain of marketing analytics, covering customer segmentation, targeting, and customer lifetime value. Learn to leverage statistical knowledge and techniques to optimize marketing strategies and make data-driven decisions.
Case studies in business analytics with Accenture: Gain real-world insights from senior practitioners at Accenture, exploring diverse applications of business analytics across industries and sectors. This module prepares learners for the capstone project, igniting reflection and enabling them to identify potential solutions and added-value applications.
Capstone: Create Value from Open Data: In this individual assignment, participants define and explore issues using open data sets from various sectors. Engage in a step-by-step process to present preliminary, intermediary, and final outputs, emphasizing the value case and its impact on public authorities, companies, and citizens.
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