Data-Driven Leadership Skills Course 3: Data-Driven Leaders (Coursera)

Specifically, the course will impart some tactics, approaches and tools that will help the learner to become a more data-savvy leader. This is achieved by providing a high level overview of the data-deluge and indicate how decision makers can tame that data to some extent, and what cannot be tamed. The takeaway form this course, is a multi-stage approach that will simplify projects conducted in the VUCA environment of the 21st Century.

This course is part of the Data-Driven Leadership Skills Specialization.

What you'll learn

- Analyse the role of data, volume, quality, and timeliness, in decision making

- Critically evaluate, with particular reference to digital data, traditional leadership models

Syllabus

The Data Landscape

Welcome to the third and final course in this specialisation. The course is a deeper dive into data than the previous two course, we will tie up the themes of traditional leadership and agility to describe a data landscape, how to navigate and how to lead. In this module, we will focus on that landscape with a brief history of data and how it has radically changed our environment as leaders.

Navigating the Data Landscape

In this module we will look at the best approach to explore and navigate this new data landscape. At the heart of this approach, I introduce my SWAN model which begins any leadership venture by challenging existing beliefs and stories in the organisation. You could say that when surrounded by data, verifying those data is of paramount importance. We will then look at some recent case studies surrounding decision making in the Covid-19 crisis. Our approach here is not make leaders look silly but to highlight just how difficult it is to make a decision about something you know too much about.

Leadership in the Age of Data

In this final module, of the final course we will put our learning together to create a framework for leadership in the age of data. This draws on the legacy of 'traditional' leadersship because it must. But we also recognise the mismatches between this form of leadership an an emerging agile workplace of hyperconnected humans and, yes, machines. This requires embrace more power to the edge, but that we also get control of our data. In short, we must be kind to humans and demand that our data work for us. In this module you will find out how.