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For my first proper video, I wanted to share a bit about my experience completing a Masters in Analytics from Georgia Tech's OMSA program while I managed a data team at Meta. I'm intentionally cutting out a lot as I wanted to get this down to 5 minutes!
Check this out if you're considering pursuing a degree in analytics or are curious about what the OMSA program entails, some tips on the class, and a bit about me as well.
I briefly cover the program structure, curriculum, and my overall thoughts on the program (and some classes to avoid if you can!). The OMSA program is a great way to skills in statistics, machine learning, analytics, and data science. If you like structured learning and accountability, it's certainly a flexible option.
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I’m Mark! I'm a CS grad student and former data science manager. You can find me here:
📹 KZbin: / @marksimithraaratchy
🧳 LinkedIn: / marksimi
🐦 Twitter: / marksimi
Bayesian books:
bayesiancomputationbook.com/
xcelab.net/rm/statistical-ret...
SHAP, a python package for local ML explanations
shap.readthedocs.io/en/latest/
00:00 Intro
00:26 OMSA Overview
00:43 Computing for Data Analytics
01:26 Data and Visual Analytics
01:53 Intro to Analytics Modeling
02:03 Simulation and Modeling
02:22 Bayesian Statistics
02:58 Data Analytics in Business
03:08 Computational Data Analytics (Machine Learning 1)
03:40 High-Dimensional Data Analytics (Machine Learning 2)
03:55 Deep Learning
04:10 Applied Analytics Practicum
04:48 About Me