Leadership Mastery for Data Science: Developing Technical Leaders

Module 1: Introduction to Leadership

• Overview of leadership styles and their characteristics

• The role of a leader in an organization

• Characteristics of an effective leader

• Self-assessment of leadership skills

Module 2: Communication and Collaboration

• Importance of effective communication in a leadership role

• Building and maintaining relationships with team members, stakeholders, and other key players in the organization

• Collaboration skills and techniques

• Handling conflicts and difficult situations

Module 3: Project Management

• Fundamentals of project management

• Planning, execution, monitoring and controlling, and closing phases

• Managing and leading teams and projects effectively

• Problem-solving and decision-making skills

Module 4: Technical Skills Review

• Data Science methodologies

• Machine learning algorithms and techniques

• Data visualization techniques

• Programming languages and tools used in data science

• Best practices for data management and governance

Module 5: Case Studies and Real-World Examples

• Analysis and solving problems using data science techniques

• Leading and managing data science projects

• Group activities and discussions

Module 6: Mentorship and Coaching

• Mentorship and coaching from experienced leaders in the field

• Opportunities for participants to ask questions, receive feedback, and learn from the experiences of others

Module 7: Final Project

• Leading and managing a data science project from start to finish

• Presentation and evaluation of the final project