Data Impact

This course is particularly important for those interested in the areas of business analytics, operations, and marketing. Throughout the last five years, Amazon, UPS, Wal-Mart, have been gaining unprecedented mastery over supply chains strategy. They have achieved increased visibility into order processing, product and service delivery by using big data and predictive data analytics to match supply with demand. Companies from retail, healthcare and energy sectors have been trying to catch up on this success. Business leaders can benefit and learn from this mastery and develop competitive advantages for their organization. The course teaches you some of the best practices for defining competitive priorities, aligning functions behind strategy, decide on the best use of resources, and choosing the right metrics to improve decision making for various market segments. The application of software tools for data analysis is also covered.

Influencing people is key to reaching shared understandings and goals in business. In Influencing Others, you will learn how to use influencing and persuasion tools to enable you to change people’s viewpoints and behaviours, helping you to maximise your impact in a variety of organizational contexts. Crucially, you will learn how to apply your skills to situations where you either do not have or cannot rely on formal positions of authority.

Gain advanced skills in analyzing unstructured data to extract valuable insights and make informed business decisions. Unstructured data—such as text, images, audio, and video—poses unique challenges and opportunities for organizations. Through a combination of concepts, practical tools, and hands-on exercises, you'll learn the principles and techniques of extracting unstructured data and transforming the data to gain business value.

Data has become an important asset to organizations and, when used strategically, can become a competitive advantage. This course provides an overview of business intelligence including data warehousing, data mining, and the fundamental principles of data science. You'll gain hands-on experience with data analytics techniques to produce business intelligence for better decision-making.

As Machine Learning and AI drive transformative advancements across industries, understanding the principles of ML and AI is crucial. Professionals need to harness data-driven insights, automate processes, and create intelligent systems. Using tools available in Python, R, and AI, this course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. You'll gain experience with applying theory to key predictive and descriptive analytics problems in business intelligence.

Put all your newly acquired knowledge and skills directly into practice at the end of each block through a practical and relevant business challenge. Teams will draw on the content and themes of previous courses in each block to complete challenges involving simulations, executive pitch presentations, innovation hackathons, real company challenges, designing new business models, etc.