What data scientists need to know but don't learn in school
Ғылым және технология
From the "655: AI ROI: How to get a profitable return on an AI-project investment" in which Pandata’s Data Scientist in Residence Keith McCormick and @JonKrohnLearns discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients.
Watch, listen to, or read the full episode at www.superdatascience.com/655
Пікірлер: 6
Could not agree more. I am so grateful for Penn State’s MPS in Data Analytics including a capstone course for this. Groups of students source their own data set, create a fictitious business problem, and present their status at various stages long the journey.
@JonKrohnLearns
Жыл бұрын
Sounds great, Jeremy!
Such a great episode. I learned a lot.
@JonKrohnLearns
Жыл бұрын
Yeah, absolutely brilliant guest. Glad you learned a lot too, Ahmad!
Do software engineers report to product managers?
@JonKrohnLearns
Жыл бұрын
Great question! Not usually. Usually software engineers report into engineering leads. In many organizations the engineering leads and the product managers then separately report into a VP of Engineering or a CTO.