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How To Be a Lead Data Scientist

via LinkedIn Learning

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Overview

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Build a foundation and develop skills for seasoned data scientists to level up from model builders to AI leaders.

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

Taught by

Matthew Blasa

Reviews

4.6 rating at LinkedIn Learning based on 133 ratings

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