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Matt Offord

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

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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.

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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.
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Traffic lights

Read about what's good
what should give you pause
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

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Reviews summary

Data-driven leadership insights

According to students, this course offers valuable insights into how data shapes modern leadership. Many found the content highly relevant and immediately applicable to leadership roles, praising its ability to shift perspectives on leading with data. The SWAN model is frequently highlighted as particularly insightful and practical, along with the real-world case studies, such as the Covid-19 example, for illustrating decision-making complexity. While the course excels in providing a coherent framework for data-driven leadership and is highly recommended for experienced leaders, a minority of learners desired more concrete examples or hands-on activities, finding some sections too conceptual. It’s emphasized as a leadership course, not a data science deep dive.
Builds a strong, unified framework for data-driven leadership.
"A solid course, especially the final module on building a framework for leadership in the age of data."
"It brings together all the concepts into a coherent framework for data-driven leadership."
"This course nicely ties traditional leadership with agile concepts for a modern framework."
Real-world case studies provide valuable context for decision-making.
"I appreciated the real-world case studies, especially the Covid-19 one, which showed the complexity of decision-making."
"The Covid-19 case study was particularly insightful for understanding decision-making under uncertainty."
"The case studies illustrate just how difficult it is to make decisions with too much data."
The SWAN model is a key, practical takeaway for challenging beliefs.
"The SWAN model was particularly insightful and practical."
"The SWAN model is a gem! Very useful for challenging organizational beliefs."
"I appreciated the introduction of the SWAN model for navigating data and challenging assumptions."
Highly relevant for modern leaders, offering applicable insights.
"This course was a fantastic deep dive into how data truly impacts modern leadership."
"The concepts are immediately applicable, and this course really shifted my perspective on how to lead with data effectively."
"I found the discussions on 'taming the data deluge' and understanding data quality extremely relevant."
Explores strategic frameworks but offers fewer concrete, tactical tools.
"I felt that the course could have provided more actionable strategies beyond the theoretical framework."
"The course felt a bit too conceptual for me. I was hoping for more concrete examples or hands-on activities."
"My only minor critique is that some parts felt a bit high-level and I was hoping for more specific tools or detailed examples on data analysis."

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
Refresh your understanding of core leadership principles to effectively integrate data into your leadership approach.
Browse courses on Leadership Theories
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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
Enhance your ability to effectively communicate data insights to support leadership decisions.
Browse courses on Data Visualization
Show steps
  • 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
Lay a strong foundation for developing data-driven strategies in your leadership approach.
Show steps
  • 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
Five other activities
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Show all eight activities
Attend Industry Conferences on Data-Driven Leadership
Stay abreast of the latest trends in data-driven leadership and connect with professionals in the field.
Browse courses on Data-Driven Leadership
Show steps
  • 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
Solidify your understanding of the practical application of data analysis in leadership decision-making.
Show steps
  • 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
Create a curated collection of resources and tools to support your data-driven leadership journey.
Browse courses on Data-Driven Leadership
Show steps
  • 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
Sharpen your skills in analyzing data to inform leadership decisions through real-world examples.
Browse courses on Data-Driven Leadership
Show steps
  • 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
Deepen your understanding by sharing your knowledge and experiences with others.
Browse courses on Data-Driven Leadership
Show steps
  • 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data-Driven Leadership Skills Course 3: Data-Driven Leaders.
Provides a comprehensive guide to data-driven leadership, covering topics such as how to use data to understand your business, make better decisions, and motivate your team. It also includes case studies and examples from a variety of industries.
Shows how to use data to improve marketing campaigns and increase customer engagement. It covers a wide range of topics, including data collection, data analysis, and data-driven marketing strategies.
Provides a gentle introduction to data analytics for beginners. It covers a wide range of topics, including data collection, data cleaning, and data visualization.
Provides a clear and concise introduction to machine learning for beginners. It covers a wide range of topics, including machine learning algorithms, data preprocessing, and model evaluation.
Provides an overview of the importance of data-driven decision-making and how to use data to make better decisions.
Provides an overview of the importance of data-driven decision-making and how to use data to make better decisions.
Provides an overview of the importance of data-driven decision-making and how to use data to make better decisions.
Provides an overview of the importance of data-driven decision-making and how to use data to make better decisions.
Provides an overview of how data can be used to improve HR processes and people decisions. It covers a wide range of topics, including data analytics, data visualization, and data-driven decision-making in HR.

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