Data Science Happy Hours 8, 06NOV2020
November 8th, 2020
1 hr 4 mins 48 secs
About this Episode
We have a surprise visit from friend of the podcast, Srivatsan Srinivasan!
Lot's of awesome topics covered in this office hour session!
Huge thanks to our sponsor for this episode - Cloud Academy! Go to https://cloudacademy.com/ and use the coupon code ARTIST for 50% off the monthly subscription fee for life!
Check it out and don't forget to register for future office hours: http://bit.ly/adsoh
If you want to interact with me multiple times a week, join Data Science Dream Job for 70% off: http://dsdj.co/artists70
Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm
We were voted one of the top ten data science podcasts by FeedSpot - check it out here: https://blog.feedspot.com/data_science_podcasts/
Checkout Nicole's article shouting out the show: https://towardsdatascience.com/supercharge-data-science-3da3ccf103-13da3ccf103
[00:01:57] Use your Excel skills to learn python
[00:04:35] Automating stuff you do in Excel with python
[00:06:49] Srivatsan shares tips on complementing your Excel skills with python
[00:08:38] Some resources recommendations for learning python
[00:10:34] How to find out what niche in data science to pursue
[00:15:17] The main problem with graduate level education in data science
[00:15:33] How the real world is different from Kaggle
[00:17:27] How to broaden your skillset
[00:19:47] Ideas for a data engineering project
[00:21:56] What are people looking for in interviews?
[00:24:50] Talking about portfolio projects in interviews
[00:27:23] Think about the question behind the question in an interview
[00:34:13] How Srivatsan comes up with new topics for his YouTube channel
[00:36:08] The importance of understanding the basics
[00:38:10] We talk about SQL
[00:42:37] Real world experience beyond the workplace
[00:44:47] Common SQL questions in an interview
[00:49:57] Don’t undersell yourself in an interview
[00:50:21] Storytelling in data science
[00:57:37] Is a Masters programs in data analytics, data science and/or computer science valuable?
[01:00:21] Finding datasets for projects