How To Become A Data Scientist: A Conversation with Udacity’s Erin Hoffman

Ready to kickstart your career in data science this year? Learn how by watching this video interview.

We recently sat down with Erin Hoffman, data scientist and Senior Technical Content Developer at Udacity, to discuss proven strategies for breaking into the data science field today. During the conversation, we covered:
1.) Erin’s own journey into data science, and what you can learn from it
2.) What is overhyped and underhyped when it comes to data science in 2024
3.) What the ESSENTIAL skills are to be successful in data science (and which you should steer clear from)
4.) How to leverage your unique background and use it as a superpower in your job search
5.) How Erin stays up to date in a space that moves at breakneck speed
6.) And so much more!

Whether you’re ‘all in’ on becoming a data scientist or are curious to learn more about it, this interview will help set you up for success and set you apart from the competition.

And if you want to take your data science skills to the next level, be sure to check out our Data Scientist Nanodegree program: https://bit.ly/3SW5Pjt

Links To The Resources Erin Mentioned:
PyData: https://pydata.org/
Cracking The Coding Interview book: https://www.crackingthecodingintervie...
Local Meetups: https://www.meetup.com

Connect with the Speaker:
Erin Hoffman:   / erinrachaelhoffman  

Video Chapters:
Introducing Erin Hoffman - 00:00
The Biggest Challenges Erin Has Faced in Her Career - 02:30
What Are The Essential Skills In Data Science - 05:30
On-the-job Learning vs. Academic Learning - 09:20
How To Stay Updated With The Data Science Industry - 10:30
Top Advice For Starting A Data Science Career Today - 14:45
Differences in Data Science Titles - 18:00
How Has AI Impacted The Role of Data Scientists - 21:00
Worst Advice Commonly Told To Data Scientists - 23:30
How To Build A Network in Data Science - 25:30
What's Being Talked About Too Much in Data Science? - 28:20
Rapid Fire Q&A - 31:20

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