How do you research prospective data science employers? Watch recorded livestream discussion!
Channel: Monika Wahi
Date: 19/01/2022

*Note: I may be compensated, but you will not be charged, if you click on the links below.
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Original broadcast:
DATE/TIME: Thursday, Jan. 19, 2022 at 12:00 pm noon ET
TOPIC: Advice on Researching Companies in Data Science 
Read more about this topic on Monika’s blog: https://buff.ly/3Kda5Fj 

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I listed the links I mention below as they come up in the livestream. Enjoy!

00:00:47 Monika’s trick to get people to come to the channel at the beginning of a livestream
00:01:23 “Jobseekers” in data science may actually already have data science jobs!
00:01:55 Why it is so important for employed jobseekers to research future employers
00:03:00 Official beginning of the livestream
00:06:15 Monika gives advice to ex-military learning computer science wanting to be a data scientist
00:07:27 Link to web page for Military Health System Data Repository (MHS, MDR, MDS, etc.): https://buff.ly/3qHI40M 
00:08:45 Monika welcomes latecomers
00:10:45 Defense Manpower Data Center (DMDC): https://dwp.dmdc.osd.mil/dwp/app/main
00:11:05 How ex-military can get access to US military datasets
00:13:30 Monika’s advice to learner who has taken courses in Python and other software but feels stuck
00:15:00 Monika’s casino portfolio project example: https://buff.ly/2PXbuFh
00:15:05 Isn’t military data restricted access? Yes and no.
00:17:29 The problem with Kaggle data – what to do with it? (Kaggle: https://www.kaggle.com/datasets )
00:19:15 Monika operationalizes research questions from the chat (from her course in big data study design: http://linkedin-learning.pxf.io/P0aVd6 )
00:21:32 How to operationalize “best” – “best” quality, “best” wine, etc.
00:22:33 Monika’s data curation course: https://linkedin-learning.pxf.io/ZnNeq 
00:23:26 Monika reviews ordinal variables
00:24:36 Monika’s advice on research public sector companies (advice on this blog post: https://buff.ly/3paFI9H )
00:28:40 Monika interprets time-series chart on Massachusetts casinos
00:31:10 You don’t really need a model to predict most things
00:31:53 Monika introduces today’s topic: How to research companies in data science
00:33:20 Monika’s one pro tip for new data science learners
00:35:35 Is SQL important for a data science job?
00:36:58 Monika’s free course in getting started with SAS ODA: https://buff.ly/3CQVPxG
00:37:38 Difference between SAS and SQL
00:38:58 Essentials for a data science resume
00:42:01 Potential role of Kaggle in helping you get a job
00:43:24 How Monika gets inspired about data science
00:43:40 Advice on how to format a data science resume
00:46:30 What should a beginning data scientist make in the US?
00:47:52 You can make a lot of money doing projects in data science – but it’s not Monika’s cup of tea
00:48:25 Why you should research companies before you interview with them
00:48:47 What makes a data science job good or bad: the manager
00:51:30 As a data scientist, will I be expected to work around the clock?
00:52:12 Monika does dramatic reading from WIRED article about Amazon’s dysfunctional cybersecurity team
00:54:40 Women in data science are often in physical danger at work
00:56:58 Monika evaluates the team behind data analytics firm DataBricks: https://databricks.com/company/board-of-directors
00:58:36 How age matters when trying to get a job in data science
01:01:03 Why to research data science companies

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