Exploring Influence and Persuasion in Data Science | Dave Coughlin

Here we delve into the principles of influence and persuasion as outlined in foundational texts. We discuss the importance of psychological insights in enhancing data-driven decision-making and the role of soft skills in the success of data professionals. Emphasizing practical applications, the conversation explores how to effectively implement these principles in the world of data science and analytics.

Connect with us:

• Website: https://thedatastorytellers.com/

• LinkedIn: https://www.linkedin.com/company/the-data-storytellers

• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa

• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA

• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476

Chapters:

00:00 - Introduction to the podcast and foundational book

00:54 - Discussing Robert Cialdini's Influence and its relevance

02:53 - The impact of the book on interns and early career professionals

05:00 - The stages of learning and their application in data science

07:50 - Practical applications of Cialdini's principles in data roles

14:48 - Overview of the six principles of influence

19:24 - Ethical considerations and genuine applications in data science

23:27 - Challenges of applying influence principles in corporate settings

27:36 - Ineffectiveness of certain influence tactics in modern data roles

39:03 - Adapting scarcity and prioritization in data science projects

1:01:15 - Midway recap and key takeaways

1:12:45 - Real-world examples and case studies

1:25:30 - Strategies for building influence in data teams

1:37:10 - Final thoughts and concluding remarks