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Matt Offord
This course is a capstone assignment requiring you to apply the knowledge and skills you have learned throughout the specialization. In this course, you will choose one of the areas and complete the assignment to pass.
Register for this course and see more details by visiting:
OpenCourser.com/course/vhfm8r/data
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What's inside
Syllabus
Reflecting on Data-Driven Leadership Skills
In preparation for the capstone project, this module summarises what we have learned so far. From the history of leadership to the modern context of data-driven leaders, the module will remind you of those key points before we go into the final assessment.
Read more
Syllabus
Reflecting on Data-Driven Leadership Skills
In preparation for the capstone project, this module summarises what we have learned so far. From the history of leadership to the modern context of data-driven leaders, the module will remind you of those key points before we go into the final assessment.
Read more
Course Assessments and Wrap up
Capstone project: assessment
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides contextual awareness to data-driven leadership pertinent to modern contexts
Develops essential leadership skills through real-world application of principles studied in the specialization
Taught by experienced instructors in data-driven leadership
Save this course
Save Data-Driven Leadership Skills Capstone Project to your list so you can find it easily later:
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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 Capstone Project with these
activities:
Refresher on Data Science and Machine Learning Concepts
Show steps
Refresh your understanding of Data Science and Machine Learning concepts to prepare for this course
Browse courses on
Data Science
Show steps
-
Review key concepts in Data Science and Machine Learning
-
Practice solving data science and machine learning problems
Review data-driven leadership skills
Show steps
Review the foundational concepts of data-driven leadership to strengthen your understanding and prepare for the capstone project.
Browse courses on
Data-Driven Leadership
Show steps
-
Read the course syllabus and skim the course materials.
-
Review your notes or materials from previous courses related to data analysis and leadership.
-
Complete any pre-course assessments or assignments to refresh your knowledge.
Complete online tutorials on advanced data analysis techniques
Show steps
Expand your knowledge of data analysis techniques by completing online tutorials and courses.
Show steps
-
Identify online tutorials or courses that cover advanced data analysis techniques.
-
Set aside dedicated time to complete the tutorials or courses.
-
Follow the instructions carefully and complete all exercises and assignments.
-
Apply the techniques you learn to real-world data analysis projects.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Engage in Peer Discussions
Show steps
Enhance your understanding by discussing course concepts with peers.
Show steps
-
Ask questions and share insights
-
Provide feedback and support to peers
Practice Data Analysis
Show steps
Reinforce your understanding of data analysis by completing practice problems and exercises.
Show steps
-
Solve Data Analysis Practice Problems
-
Identify and interpret patterns in data
-
Apply statistical techniques to analyze data
Solve case studies
Show steps
Apply your understanding of data-driven leadership to real-world scenarios and improve your problem-solving skills.
Show steps
-
Identify a case study or scenario related to data-driven decision making.
-
Analyze the data provided and identify key insights.
-
Develop recommendations and solutions based on your analysis.
-
Present your findings and justify your recommendations.
Develop a Data-Driven Solution
Show steps
Apply your knowledge by creating a data-driven solution to a real-world problem.
Show steps
-
Identify a data-driven problem
-
Gather and analyze relevant data
-
Develop and implement a data-driven solution
-
Evaluate and refine your solution
participate in a data analytics competition
Show steps
Participate in a data analytics competition to test your skills and learn from others in the field.
Show steps
-
Identify a relevant data analytics competition.
-
Form a team or work independently.
-
Develop a plan for approaching the competition.
-
Analyze the data and develop solutions.
-
Submit your results and reflect on your performance.
Explore Advanced Data Visualization Techniques
Show steps
Expand your skillset by learning advanced techniques for visualizing data.
Browse courses on
Data Visualization
Show steps
-
Identify appropriate data visualization techniques
-
Create effective and engaging data visualizations
Develop a data-driven leadership strategy
Show steps
Create a comprehensive strategy that outlines how you will incorporate data-driven approaches into your leadership style.
Show steps
-
Define your leadership goals and objectives.
-
Identify the data sources and metrics relevant to your goals.
-
Develop a plan for collecting, analyzing, and interpreting data.
-
Outline strategies for using data to inform decision-making and improve outcomes.
-
Present your strategy to stakeholders and get feedback.
Contribute to open-source data analytics projects
Show steps
Contribute to open-source projects related to data analytics to enhance your skills and connect with the community.
Show steps
-
Identify open-source data analytics projects that align with your interests.
-
Review the project documentation and understand its goals.
-
Make a meaningful contribution to the project, such as fixing bugs or adding features.
-
Collaborate with other contributors and learn from their expertise.
Mentor junior data analysts
Show steps
Share your knowledge and skills with aspiring data analysts to reinforce your understanding and contribute to the community.
Show steps
-
Identify opportunities to mentor junior data analysts.
-
Provide guidance on data analysis techniques and best practices.
-
Offer support and encouragement to your mentees.
-
Reflect on your mentoring experience and identify areas for improvement.
Refresher on Data Science and Machine Learning Concepts
Show steps
Refresh your understanding of Data Science and Machine Learning concepts to prepare for this course
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Review key concepts in Data Science and Machine Learning
- Practice solving data science and machine learning problems
Review data-driven leadership skills
Show steps
Review the foundational concepts of data-driven leadership to strengthen your understanding and prepare for the capstone project.
Browse courses on
Data-Driven Leadership
Show steps
Show steps
Show steps
- Read the course syllabus and skim the course materials.
- Review your notes or materials from previous courses related to data analysis and leadership.
- Complete any pre-course assessments or assignments to refresh your knowledge.
Complete online tutorials on advanced data analysis techniques
Show steps
Expand your knowledge of data analysis techniques by completing online tutorials and courses.
Show steps
Show steps
Show steps
- Identify online tutorials or courses that cover advanced data analysis techniques.
- Set aside dedicated time to complete the tutorials or courses.
- Follow the instructions carefully and complete all exercises and assignments.
- Apply the techniques you learn to real-world data analysis projects.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Engage in Peer Discussions
Show steps
Enhance your understanding by discussing course concepts with peers.
Show steps
Show steps
Show steps
- Ask questions and share insights
- Provide feedback and support to peers
Practice Data Analysis
Show steps
Reinforce your understanding of data analysis by completing practice problems and exercises.
Show steps
Show steps
Show steps
- Solve Data Analysis Practice Problems
- Identify and interpret patterns in data
- Apply statistical techniques to analyze data
Solve case studies
Show steps
Apply your understanding of data-driven leadership to real-world scenarios and improve your problem-solving skills.
Show steps
Show steps
Show steps
- Identify a case study or scenario related to data-driven decision making.
- Analyze the data provided and identify key insights.
- Develop recommendations and solutions based on your analysis.
- Present your findings and justify your recommendations.
Develop a Data-Driven Solution
Show steps
Apply your knowledge by creating a data-driven solution to a real-world problem.
Show steps
Show steps
Show steps
- Identify a data-driven problem
- Gather and analyze relevant data
- Develop and implement a data-driven solution
- Evaluate and refine your solution
participate in a data analytics competition
Show steps
Participate in a data analytics competition to test your skills and learn from others in the field.
Show steps
Show steps
Show steps
- Identify a relevant data analytics competition.
- Form a team or work independently.
- Develop a plan for approaching the competition.
- Analyze the data and develop solutions.
- Submit your results and reflect on your performance.
Explore Advanced Data Visualization Techniques
Show steps
Expand your skillset by learning advanced techniques for visualizing data.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify appropriate data visualization techniques
- Create effective and engaging data visualizations
Develop a data-driven leadership strategy
Show steps
Create a comprehensive strategy that outlines how you will incorporate data-driven approaches into your leadership style.
Show steps
Show steps
Show steps
- Define your leadership goals and objectives.
- Identify the data sources and metrics relevant to your goals.
- Develop a plan for collecting, analyzing, and interpreting data.
- Outline strategies for using data to inform decision-making and improve outcomes.
- Present your strategy to stakeholders and get feedback.
Contribute to open-source data analytics projects
Show steps
Contribute to open-source projects related to data analytics to enhance your skills and connect with the community.
Show steps
Show steps
Show steps
- Identify open-source data analytics projects that align with your interests.
- Review the project documentation and understand its goals.
- Make a meaningful contribution to the project, such as fixing bugs or adding features.
- Collaborate with other contributors and learn from their expertise.
Mentor junior data analysts
Show steps
Share your knowledge and skills with aspiring data analysts to reinforce your understanding and contribute to the community.
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior data analysts.
- Provide guidance on data analysis techniques and best practices.
- Offer support and encouragement to your mentees.
- Reflect on your mentoring experience and identify areas for improvement.
Career center
Learners who complete Data-Driven Leadership Skills Capstone Project will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts play a vital role in organizations by transforming raw data into actionable insights. The Data-Driven Leadership Skills Capstone Project helps build a foundation in data analysis techniques and their application, equipping learners with the skills to excel as Data Analysts.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists ensure the proper management and use of data within an organization. The Data-Driven Leadership Skills Capstone Project provides a comprehensive understanding of data governance principles and practices, enabling learners to play a key role in data governance initiatives and ensure data quality and compliance.
Data Scientist
Data Scientist
Data Scientists are in high demand for their expertise in statistical modeling and machine learning. The Data-Driven Leadership Skills Capstone Project provides a springboard into this field, introducing learners to these concepts and enabling them to apply them to real-world projects.
Product Manager
Product Manager
Product Managers rely on data to make informed decisions about product development and marketing. The Data-Driven Leadership Skills Capstone Project can be valuable, as it provides learners with the skills to leverage data to understand customer needs, prioritize features, and drive product success.
Business Operations Analyst
Business Operations Analyst
Business Operations Analysts use their understanding of data and trends to make operational improvements. By leveraging analytical techniques, these professionals identify areas for process optimization and efficiency gains. Those wishing to enter this field may find the Data-Driven Leadership Skills Capstone Project especially relevant, as the course's focus on utilizing data to drive decision-making aligns with the skills necessary to succeed as a Business Operations Analyst.
Risk Analyst
Risk Analyst
Risk Analysts use data and analytics to assess and mitigate risks in various industries. The Data-Driven Leadership Skills Capstone Project provides a solid foundation in risk analysis techniques, enabling learners to identify, evaluate, and manage risks effectively.
Healthcare Data Analyst
Healthcare Data Analyst
Healthcare Data Analysts use their expertise in data analysis to improve healthcare outcomes and efficiency. The Data-Driven Leadership Skills Capstone Project can be valuable, as it provides learners with the skills to extract meaningful insights from healthcare data and drive data-informed decision-making.
Data-Driven Marketer
Data-Driven Marketer
Data-Driven Marketers utilize data and analytics to optimize marketing campaigns and drive customer engagement. The Data-Driven Leadership Skills Capstone Project provides a comprehensive understanding of data-driven marketing techniques, giving learners the skills to lead and execute successful marketing initiatives.
Business Strategy Consultant
Business Strategy Consultant
To succeed as a Business Strategy Consultant, it is crucial to have a deep understanding of data and how it informs strategic decision-making. The Data-Driven Leadership Skills Capstone Project provides a solid foundation in applying data analysis to real-world business problems, equipping learners with the skills to develop and implement effective strategies.
User Experience (UX) Researcher
User Experience (UX) Researcher
User Experience Researchers collect and analyze data to understand user behavior and improve the user experience of products and services. The Data-Driven Leadership Skills Capstone Project may be helpful, as it develops learners' skills in data collection, analysis, and interpretation, which are crucial for UX research.
Market Research Analyst
Market Research Analyst
Market Research Analysts collect and analyze data to understand market trends and consumer behavior. The Data-Driven Leadership Skills Capstone Project may be helpful, as it develops learners' skills in data analysis, interpretation, and presentation.
Supply Chain Manager
Supply Chain Manager
Supply Chain Managers leverage data to optimize supply chains and ensure efficient operations. The Data-Driven Leadership Skills Capstone Project may be useful, as it provides learners with the skills to analyze supply chain data, identify inefficiencies, and develop data-driven solutions.
Web Analyst
Web Analyst
Web Analysts use data to understand website traffic, user behavior, and conversion rates. The Data-Driven Leadership Skills Capstone Project may be useful, as it introduces learners to web analytics techniques and provides hands-on experience in analyzing website data.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data and analytics to optimize operational processes and improve decision-making. The Data-Driven Leadership Skills Capstone Project may be useful, as it introduces learners to the principles of operations research and their application in various industries.
Financial Analyst
Financial Analyst
Financial Analysts leverage data to assess investment opportunities and make informed decisions. The Data-Driven Leadership Skills Capstone Project may be helpful for those aspiring to become Financial Analysts, as it provides a strong foundation in financial data analysis and interpretation.
For more career information including salaries, visit:
OpenCourser.com/course/vhfm8r/data
Reading list
We've selected 16 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 Capstone Project.
Provides a collection of articles from Harvard Business Review on how leaders can use data to make better decisions.
Save
Argues that data-driven leadership is essential for success in the 21st century. It provides a framework for using data to make better decisions, solve problems, and create value.
Provides a practical guide to using data and analytics to improve business performance. It covers topics such as data collection, analysis, and visualization, and includes case studies from a variety of industries.
Save
Provides a case study of how businesses are using data to win in the marketplace.
Save
Provides a comprehensive overview of predictive analytics and how it can be used to improve decision-making.
Save
Provides a practical introduction to data visualization. It covers topics such as choosing the right charts and graphs, creating effective data visualizations, and presenting data effectively.
Save
Provides a guide to using data to improve employee performance and engagement. It is written by a data scientist who has extensive experience in working with businesses to solve real-world problems.
Provides a comprehensive overview of advanced data analysis techniques. It covers topics such as statistical inference, regression analysis, and ANOVA.
Provides a comprehensive overview of deep learning for natural language processing.
Provides a practical introduction to machine learning. It covers topics such as supervised and unsupervised learning, regression, and classification.
Provides a practical introduction to artificial intelligence. It covers topics such as machine learning, natural language processing, and computer vision.
Save
Explores the science of habit formation. It provides practical tips on how to change bad habits and create new ones.
Save
Provides a practical guide to building good habits and breaking bad ones. It includes tips and techniques that can be used in any area of life.
Provides a framework for personal and professional success. It covers topics such as goal setting, time management, and interpersonal communication.
Provides a framework for effective leadership. It covers topics such as vision, inspiration, and execution.
Save
Explores the factors that distinguish great companies from good companies. It provides practical advice on how to build a great company.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vhfm8r/data
Share
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Level
Intermediate
Via
Coursera
Institution
University of Glasgow
Instructor
Matt Offord
Language
English
This course belongs to a
collection
called
Data-Driven Leadership Skills. It's comprised of four courses:
- Data-Driven Leadership Skills Course 2: Agile Leadership
- Data-Driven Leadership Skills Course 3: Data-Driven Leaders
- Data-Driven Leadership Skills Course 1: Leadership Narrative
- Data-Driven Leadership Skills Capstone Project (viewing)
Good to know
Provides contextual awareness to data-driven leadership pertinent to modern contexts
Develops essential leadership skills through real-world application of principles studied in the specialization
Taught by experienced instructors in data-driven leadership
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