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Overview
The “How To Be a Lead Data Scientist” course is designed for experienced data scientists aspiring to transition into leadership roles. This course focuses on the skills, mindset, and responsibilities required to successfully lead data science teams and projects within organizations. Participants will explore the strategic and managerial aspects of the role, including project planning, stakeholder communication, and aligning data initiatives with business objectives. The course emphasizes effective team leadership, mentoring junior data scientists, fostering collaboration, and driving innovation. Learners...
Syllabus
Introduction
- Becoming a lead data scientist
1. What Does a Lead Data Scientist Do?
- Why become a lead data scientist?
- The role of a lead data scientist vs. a senior data scientist
- Working with people
2. Building a Mental Framework
- Making the jump from builder to leader
- Seeing the broader business and strategy picture
- Taking a data product focus
- Embracing imposter syndrome
- Embracing and adapting to change
3. Laying Career Foundations
- How to assess your career
- Communicating interest and getting a plan
- Internal networking
- External networking
4. Hard Skills You Need
- Technical foundations
- Data and model governance
- Developing project management skills
- Developing product management skills
- Understanding the importance of strategy, ops, and tactics
5. Managing Relationships as a Lead
- Relationship fundamentals
- Team dynamics and influence
- Mentoring future leaders
- Stakeholder and user dynamics
Conclusion
- Next steps
Instructor
Matthew Blasa
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