Data-Driven Leadership Skills Course 3: Data-Driven Leaders from Coursera

Analyse the role of data, volume, quality, and timeliness, in decision making and critically evaluate, with particular reference to digital data, traditional leadership models

In this course, you will learn the importance of data to leadership in the 21st Century and how this is a game-changer compared with earlier approaches, developed in an, arguable, simpler past. 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.

What's inside

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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for professionals looking to advance their leadership in a data-driven environment

Presents a blend of theoretical foundations and practical approaches to data-driven decision-making

Guided by instructors with experience in data analytics and leadership

Coursework emphasizes navigating complex data landscapes and making informed decisions in VUCA environments

Introduces the SWAN model for data analysis, providing a structured approach to verifying and interpreting data

Real-world case studies enhance understanding of data-driven decision-making challenges and strategies

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data-Driven Leadership Skills Course 3: Data-Driven Leaders with these activities:

Review Leadership Theories and Models

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Refresh your understanding of core leadership principles to effectively integrate data into your leadership approach.

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Review classic and contemporary leadership theories
Analyze the strengths and limitations of different leadership models
Identify the key attributes of effective leaders in the modern era

Explore Data Visualization Techniques for Leadership

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Enhance your ability to effectively communicate data insights to support leadership decisions.

Browse courses on Data Visualization

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Identify and explore different data visualization techniques
Practice creating visualizations using online tools or software
Analyze the effectiveness of different visualizations for various scenarios

Review 'Data Strategy' By Bernard Marr

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Lay a strong foundation for developing data-driven strategies in your leadership approach.

View Data Strategy: How to Profit from a World of... on Amazon

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Read the book's introduction and chapter 1
Summarize the key concepts and ideas presented in the book
Identify the most relevant strategies for your leadership style

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Attend Industry Conferences on Data-Driven Leadership

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Stay abreast of the latest trends in data-driven leadership and connect with professionals in the field.

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Identify relevant industry conferences or events
Register and attend the conference
Network with speakers, attendees, and potential mentors

Design a Data-Driven Decision-Making Framework

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Solidify your understanding of the practical application of data analysis in leadership decision-making.

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Identify the key elements of a data-driven decision-making framework
Develop a visual representation of the framework
Write a detailed description of the framework and its elements
Present the framework to colleagues or peers for feedback

Develop Your Personalized Data-Driven Leadership Toolkit

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Create a curated collection of resources and tools to support your data-driven leadership journey.

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Identify and gather relevant articles, books, and online resources
Organize and categorize the resources based on their purpose and topic
Create a digital or physical repository for easy access

Analyze Case Studies on Data-Driven Leadership

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Sharpen your skills in analyzing data to inform leadership decisions through real-world examples.

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Identify and gather relevant case studies
Analyze the data and decision-making processes presented in each case study
Extract key lessons and insights from the case studies
Present your findings to colleagues or peers for discussion

Share Your Data-Driven Leadership Insights

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Deepen your understanding by sharing your knowledge and experiences with others.

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Identify opportunities to mentor or support individuals seeking to enhance their data-driven leadership skills
Provide guidance, share best practices, and offer constructive feedback

Career center

Learners who complete Data-Driven Leadership Skills Course 3: Data-Driven Leaders will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. Data-Driven Leadership Skills can help Data Analysts understand the data landscape and use data to make better decisions.

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Chief Data Officer

Chief Data Officers are responsible for leading the data strategy of an organization. Data-Driven Leadership Skills can help Chief Data Officers understand the data landscape and use data to make better decisions about data strategy.

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Data Scientist

Data Scientists use data to build predictive models and solve business problems. Data-Driven Leadership Skills can help Data Scientists understand the data landscape and use data to make better decisions.

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Data Governance Officer

Data Governance Officers are responsible for managing the data assets of an organization. Data-Driven Leadership Skills can help Data Governance Officers understand the data landscape and use data to make better decisions about data governance.

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Business Analyst

Business Analysts help to define the needs of businesses and identify solutions to business problems. Data-Driven Leadership Skills can help Business Analysts better understand the data landscape and use data to make better decisions.

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Market Researcher

Market Researchers collect and analyze data to help businesses understand their customers and make better decisions. Data-Driven Leadership Skills can help Market Researchers understand the data landscape and use data to make better decisions.

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Product Manager

Product Managers are responsible for the development and launch of new products. Data-Driven Leadership Skills can help Product Managers understand the data landscape and use data to make better decisions about product development.

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Project Manager

Project Managers are responsible for planning, executing, and delivering projects. Data-Driven Leadership Skills can help Project Managers understand the data landscape and use data to make better decisions about project management.

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Strategy Consultant

Strategy Consultants help businesses develop and implement strategies. Data-Driven Leadership Skills can help Strategy Consultants understand the data landscape and use data to make better decisions about strategy.

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Risk Manager

Risk Managers are responsible for identifying and mitigating risks. Data-Driven Leadership Skills can help Risk Managers understand the data landscape and use data to make better decisions about risk management.

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Systems Analyst

Systems Analysts design and implement computer systems. Data-Driven Leadership Skills can help Systems Analysts understand the data landscape and use data to make better decisions about system design and implementation.

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Sales Manager

Sales Managers are responsible for leading and motivating sales teams. Data-Driven Leadership Skills can help Sales Managers understand the data landscape and use data to make better decisions about sales management.

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Web Developer

Web Developers design and develop websites. Data-Driven Leadership Skills may help Web Developers understand the data landscape and use data to improve the performance of their websites.

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User Experience Designer

User Experience Designers design the user interface for websites and other digital products. Data-Driven Leadership Skills may help User Experience Designers understand the data landscape and use data to design better user experiences.

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Technical Writer

Technical Writers create documentation for software and other technical products. Data-Driven Leadership Skills may help Technical Writers understand the data landscape and use data to write better documentation.

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