My career changing computer science masters degree in 15 minutes (Upenn MCIT) | Tina Huang

My career changing computer science masters degree in 15 minutes (Upenn MCIT) | Tina Huang

My career changing computer science masters degree in 15 minutes (Upenn MCIT) I did a pharmacology undergraduate and then a masters in computer science. This is my whole career changing computer science masters degree in 15 minutes. The program is called masters in computer and information technology at the University of Pennsylvania (Upenn MCIT). I hope this video is useful for those of you looking to transition into computer science, data science, software engineering etc. From a non-technical background :) computer science degree in 15 minutes - let's go!______________________________________________________________________Timestamps00:00 Intro 01:00 semester 1 (core classes)04:36 internship 06:33 semester 2 (core classes)10:02 more internship stuff10:45 data science electives13:16 nlp & databases electives______________________________________________________________________Other videos you might be interested inInterview with director of MCIT (lots of info about the program, how to apply etc.) : https://www.youtube.com/watch?v=rd1HKwJT6GMHow to learn data science in 2021: https://www.youtube.com/watch?v=Axu4tJl8gbMThe resume that got me into FAANG as a data scientist: https://www.youtube.com/watch?v=vx-x-yXXE9I______________________________________________________________________Discord: https://discord.gg/uaGFKueJvfSubscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dACheck out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________About me Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) I have accepted that I will forever be a lazy person so have since decided to embrace that. My motto is to always minimize effort and maximize outcome!______________________________________________________________________Contactyoutube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com *If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________*The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)about: #computersciencedegreein #upennmcit #TinaHuang Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. -------------- Keywords: ai tools, tech career, tech insights, programming Learn more about your ad choices. Visit megaphone.fm/adchoices

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Episoder(230)

How I take notes - Tips for efficient note taking that speeds up learning | Tina Huang

How I take notes - Tips for efficient note taking that speeds up learning | Tina Huang

How I take notes - Tips for efficient note taking that speeds up learning Hi friends! In this video, I share with you guys how I take notes from start to finish. I love things that minimize effort an...

10 Okt 14min

Will this AI thing happen in the next 5 years? | Tina Huang

Will this AI thing happen in the next 5 years? | Tina Huang

Will this AI thing happen in the next 5 years?Tina is a former data scientist at Meta.Her channel focuses on AI, coding, tech, career development, and self-study.Always striving to minimize effort wh...

10 Okt 3min

Biology to Data Science (data professor's tips on how to get a data science research position) | Tina Huang

Biology to Data Science (data professor's tips on how to get a data science research position) | Tina Huang

Biology to Data Science (data professor's tips on how to get a data science research position)How did data professor transition from biology into data science? How do you get a research position with...

10 Okt 42min

I Built an AI App to Make Manga (From Zero Art Skills) | Tina Huang

I Built an AI App to Make Manga (From Zero Art Skills) | Tina Huang

I Built an AI App to Make Manga (From Zero Art Skills) Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize...

10 Okt 21min

🐙 Everything about Claude | Tina Huang

🐙 Everything about Claude | Tina Huang

🐙 Everything about ClaudeWant to get resources from this livestream? Sign up here so I can email them to you: https://www.lonelyoctopus.com/workshop🤝 Business Inquiries: https://tally.so/r/mRDV99🖱️...

10 Okt 1h 20min

A day in the life of a data scientist (FAANG data scientist remote) | Tina Huang

A day in the life of a data scientist (FAANG data scientist remote) | Tina Huang

A day in the life of a data scientist (FAANG data scientist remote)This is a day in the life of a data scientist! I'm a FAANG data scientist currently working remotely due to the pandemic. This is a r...

10 Okt 9min

How to choose between software engineering and data science | 5 Key Considerations | Tina Huang

How to choose between software engineering and data science | 5 Key Considerations | Tina Huang

How to choose between software engineering and data science | 5 Key ConsiderationsSoftware Engineering vs Data Science? Last year, I made a choice between a software engineering and a data science pos...

9 Okt 10min

5 Tasks In 10 Minutes With Manus | Tina Huang

5 Tasks In 10 Minutes With Manus | Tina Huang

5 Tasks In 10 Minutes With Manus Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizi...

9 Okt 4min

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