How To Be a Lead Data Scientist

Course details

In a world relentlessly transformed by technology, how can a seasoned data scientist level up as a leader? Where do you start? This course lays out the fundamentals needed to level up and succeed as a new lead data scientist: the essential skills, mindsets, and strategy.

Discover the critical demand for visionary data science leaders who can lead teams, devise impactful strategies, and bridge business needs and technical execution. This journey will equip you with a robust mental framework, solid professional pillars, enhanced leadership skills, and effective communication skills to produce lasting value. By the end of this course, you’ll be ready to unleash your new leadership skills across the AI and data science lifecycle.

Concepts

0. Introduction

01 - Becoming a lead data scientist

1. What Does a Lead Data Scientist Do

02 - Why become a lead data scientist
03 - The role of a lead data scientist vs. a senior data scientist
04 - Working with people

2. Building a Mental Framework

05 - Making the jump from builder to leader
06 - Seeing the broader business and strategy picture
07 - Taking a data product focus
08 - Embracing imposter syndrome
09 - Embracing and adapting to change

3. Laying Career Foundations

10 - How to assess your career
11 - Communicating interest and getting a plan
12 - Internal networking
13 - External networking

4. Hard Skills You Need

14 - Technical foundations
15 - Data and model governance
16 - Developing project management skills
17 - Developing product management skills
18 - Understanding the importance of strategy, ops, and tactics

5. Managing Relationships as a Lead

19 - Relationship fundamentals
20 - Team dynamics and influence
21 - Mentoring future leaders
22 - Stakeholder and user dynamics

Conclusion

23 - Next steps