COURSE CONTRIBUTION TO PROGRAM
This course aims at helping you navigate and thrive in the rapidly evolving business landscape, where data science and artificial intelligence (AI) play increasingly pivotal roles. The course is crafted to enable you to acquire and hone the essential "quantitative intuition" and skills necessary to thrive in this increasingly data-driven era, empowering you to make insightful, innovative decisions when faced with complex business challenges.
As the science of data analytics and AI continues to grow at an extraordinary pace, it is becoming of paramount importance for future leaders, managers, and organizations to stay abreast of these advancements and capitalize on the opportunities they present. However, merely familiarizing yourself with these tools will not be enough to succeed. Managers must master the art of effectively integrating their context knowledge and experience-based intuitions to effectively lead data analytics, accurately interpret its results, and foresee the best application of these technologies.
Our comprehensive curriculum blends solid theoretical foundations with practical, hands-on exercises, specifically designed to enhance your data-driven analytical and creative thinking.
Course Learning Objectives
- Develop an in-depth understanding of tools for data-driven decision making and their role in modern business strategy.
- Acquire a strong foundation in how to think as a data-driven manager.
- Master the art of seamlessly blending data-driven insights with personal intuition and contextual understanding to make evidence-based strategic choices.
- Cultivate the ability to think creatively and analytically with data.
- Engage in practical exercises and real-world case studies to reinforce the application of acquired skills and knowledge.
By the end of this course, participants will be well-equipped with the expertise needed to thrive in data-driven organizations by integrating data-driven insights into their strategic decision-making processes.
Throughout the course, we will implement a variety of techniques, such as interactive learning sessions centered on engaging discussions, multimedia content, (potential) guest speakers, and brief simulations. These methods are aimed at equipping you with the knowledge and abilities required to harness data for well-informed decision-making.
