7 Things to Look For in a Masters For Data Science (feat. @Tina Huang)
Are you thinking about pursuing a masters degree to break into the data science field? If so, this is the video for you. In it @Tina Huang and I discuss the 7 most important things you should consider when evaluating a graduate degree for data science.
How I chose my Masters Degree: https://www.youtube.com/watch?v=domVw8isGOI&ab_channel=KenJee
How @Tina Huang Chose Hers: https://www.youtube.com/watch?v=C8iL4V-y1Qs&ab_channel=TinaHuang
Tina’s Channel: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww
Example of placement statistics: https://datascience.virginia.edu/pages/2018-msds-employment-statistics
First, I want to be clear that I don’t think a masters degree is required for breaking into data science. Still, if you are looking to go down this route, this video will be very helpful to you.
Thing 1 – What will you be learning?
Thing 2 – What do the job placements look like?
Thing 3 – Is there class diversity and/or flexibility?
Thing 4 – Online vs. in person courses?
Thing 5 – What is the time commitment like? Can you pursue part time?
Thing 6 – What are the internships or research opportunities like?
Thing 7 – How expensive is it?
BONUS Thing 8 – What should international students consider?
#DataScience #KenJee #MastersDegree
1:15 Thing 1
2:26 Thing 2
3:32 Thing 3
4:33 Thing 4
5:20 Thing 5
6:01 Thing 6
6:59 Thing 7
7:48 BONUS Thing 8
47% Discount on 365 Data Science (Affiliate Link): https://365datascience.pxf.io/JG3yR
More from Ken Jee:
Best Alarm Clock Ever: https://amzn.to/2MNrXJH
GIANT Sticky Pad: https://amzn.to/2IWBQDY
Creepy Mannequin: https://amzn.to/2MjzC3q
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