Welcome to the Data Science in a Business Context course!
Becoming an accomplished and successful Data Scientist today not only requires one to sharpen their technical skills, but also—and more importantly—to be able to respond to a business’ needs in an effective, value–generating way. Being able to extract value from a Machine Learning model is generally what differentiates Data Science from other sciences. Yet Data Scientists focus too little on this point, often adopting an academic, machine learning–oriented approach to solving problems in their daily life. This often results in underperforming Data Science teams, non–captured or belatedly–captured value for the companies they work for, and slow career progression for Data Scientists themselves.
In this course I will teach you how to maximise value generation of your Data Science models. I will introduce a few core principles that an effective and productive Data Scientist should keep in mind to perform their job in a value–oriented way, and based on those principle, I will introduce a framework that you can apply in your everyday life when solving Data Science problems in a business context. I will finally show you a case study example to demonstrate how the framework works in practice.
What you will learn
After the course you will be able to:
Specification: Data Science in a Business Context