SDS 563: How to Rock at Data Science — with @TinaHuang1

Показать описание

#DataScienceCareer #DataScientistCareerAdvice #RockAtDataScience

In this episode, superstar data science YouTuber Tina Huang joins us to discuss what it's like to work at one of the world's largest tech companies, her strategies for efficient learning, and how best to prepare for a career in data science from scratch.

In this episode you will learn:
• The key areas to focus on when getting started in data science [4:15]
• Tina’s five steps to consistently doing anything [10:07]
• Tina's day-to-day life as a data scientist at one of the world’s largest tech companies [18:22]
• How Tina's computer science background helps her work [24:28]
• Traditional banking culture vs big tech [30:30]
• How Tina's background in pharmacology impacts her work in data science [34:25]
• The software languages that Tina uses daily in her work [43:45]
• How Tina’s SQL course practically prepares you for data science interviews [45:32]

Рекомендации по теме

Комментарии

Thanks, Jon for having Tina, really loved the conversation and learned a lot! I loved the cards and your cat

vijayarana

I really loved the career path talk. I was a developer but kind of disappointed that I couldn't find many people talk about their professional life in software development. I mean for most of us, our job is the most part of our life, we should have a lot of stories for our later life to remember ( for the sake of dementia 😜). Hope to see more people to talk about how they ventured into the data science.
Also appreciate you pass on the information of the 80, 000 Hours organization. This can truely help many people to find their vocation.

yibingyang

What a great episode. Really made my current train ride 10x better. Also been watching a lot of Tina's videos already. I can really relate to her story about procrastination. Been like this in all my bachelors in industrial engineering. Then found programming and switched to business information for my masters. Focused on ml and dl in my coursework and worked my ass off in my free time to teach me ml/dl by myself. Then started working as a data scientist 😊

jeffrey

Finally a good podcast! I have the same cat tree :)

SergiuMunteanu

SDS 563: How to Rock at Data Science — with @TinaHuang1

SDS 563: How to Rock at Data Science — with @TinaHuang1

DCIM Change Rack PDU without Downtime

Software languages data scientist @TinaHuang1 uses day-to-day

How to start in Data Science from scratch with @TinaHuang1

How a computer science background is helpful for data science

Data science when you don’t have enough data

How a science background is helpful for data science

Senior Data Scientist - Zakaria Alzilitni

SDS 555: Sports Analytics and 66 Days of Data with @KenJee_ds

Alpha Drill Bit Guide/Water Delivery System

SDS 571: Collaborative, No-Code Machine Learning — with Tim Kraska

A Tension Span - V12

SDS 559: GPT-3 for Natural Language Processing — with Melanie Subbiah

SDS 561: Engineering Data APIs — with Nate Fox

How scientists and engineers can make a big social impact in health technology

Ajay Halthor on Getting a Data Science Job

B☆RS f a l l i n g f a s t e r

BOWLING PIN SDS V6 | Bishop, California

Dewalt Trimmer and Blower test(3)

536 AD: The Year That The Sun Disappeared | Catastrophe | Real History

Day in life as a Data Scientist and Personal Trainer (Covid Edition - Work From Home)

FreiZeit - Festival - Reini - Irgendwann bleib ich dann dort - SDS - Cover

Best Hammer Drill Brand? Milwaukee, Dewalt, Makita, Ryobi, Hart, & Cacoop

View from the Thoraxcenter: ESC 24 Hot Line Wrap Up