Executive Data Science Capstone

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Below are the top discussions from Reddit that mention this online Coursera course from Johns Hopkins University.

Offered by Johns Hopkins University. The Executive Data Science Capstone, the specialization’s culminating project, is an opportunity for ... Enroll for free.

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Taught by
Jeff Leek, PhD
Associate Professor, Biostatistics
and 2 more instructors

Offered by
Johns Hopkins University

Reddit Posts and Comments

0 posts • 1 mentions • top 1 shown below

r/datascience • comment
2 points • nfmcclure

I have been working in the DS field for several years and have worked with good POs and bad POs.

The good POs:

  1. Kept us on track to meet goals. Data scientists have a tendency to hole themselves up for weeks pursuing vast research goals. It is important to have regular and frequent checkins and achievable intermediate goals.
  2. Communicate findings, eta, objectives, SLAs, etc up and down the org. You don't have to be a statistical expert. But a good DS PO trusts us and works with us to compromise and find out how to get a MVP feature/product out the door.

Also, I've been cataloguing and mining a lot of online learning content links and extracting skills so this question interests me. Here are the resources that I can find when cross checking data science and project management:

  1. https://www.linkedin.com/learning/learning-data-science-using-agile-methodology
  2. https://www.coursera.org/learn/executive-data-science-capstone
  3. https://www.edx.org/course/data-science-method
  4. https://www.udacity.com/course/data-product-manager-nanodegree--nd030

Some of these are free some are not. I hope they help!

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