Video description
Presented by Darby Laffoon – Sr Manager, Big Data Platform Engineering at Charles Schwab
In this session, we will walk through the various aspects of how to build and manage effective data science teams, and how to navigate the many challenges that come with such an undertaking. While there is no right or wrong, experience tells us that there are a multitude of ways to approach any challenge therein, and that’s where we will focus much of our energy.
Table of contents
Product information
- Title: Keys to Leading Highly Effective Data Science Teams
- Author(s):
- Release date: September 2019
- Publisher(s): Data Science Salon
- ISBN: None
You might also like
book
Leading Data Science Teams
Compared to other functions of an organization, data science is highly speculative. Data science teams are …
video
What Indeed’s Job Market Data can tell us about Demographics and Trends in Data Science
Presented by Chris Lindner – Manager, Product Science at Indeed Over the past decade, data science …
article
Why So Many Data Science Projects Fail to Deliver
Many companies are unable to consistently gain business value from their investments in big data, artificial …
book
Building and Managing High-Performance Distributed Teams: Navigating the Future of Work
The age of the distributed team is upon us. Teams can now operate and collaborate from …
