Problem Identification and Solution Design for Data Scientists
Problem Identification and Solution Design for Data Scientists
Released: 9/23/2024
Duration: 1h 27m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 213 MB
Genre: eLearning | Language: English
Released: 9/23/2024
Duration: 1h 27m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 213 MB
Genre: eLearning | Language: English
Whether you’re working as a consultant or an employee, you need to be able to speak to nontechnical business leaders if you want to be successful as a data scientist. Becoming bilingual isn’t easy, though—so what’s the secret to mastering this coveted skill? In this course for aspiring data professionals, join instructor Keith McCormick as he outlines the fundamentals of problem identification and solution design for data scientists. Learn how to translate business needs into technical terms, follow the CRoss Industry Standard Process for Data Mining (CRISP-DM), conduct structured interviews with project leaders, and think about projects from a business leader’s point of view. Keith offers quick insights and easy-to-use tips for conveying technical concepts clearly with ease. Along the way, you’ll learn how to leverage business communication and documentation skills throughout every stage of a project.
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