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Interview Questions Covered:
- What does a quantitative analyst do?
- How did you progress in your career to become a Quantitative Analyst?
- What schooling, upskilling, or professional experience prepared you for this field?
- How has AI impacted your role as a Quantitative Analyst?
- What specific tasks in finance have been transformed by AI?
- In the world of AI finance, what topics are over-discussed, and which are overlooked?
- How do AI models compare to human traders in terms of performance?
- How do you balance AI-driven insights with traditional financial analysis?
- What challenges remain for AI in trading that you hope to see solved?
- What advice would you give to aspiring professionals in AI and finance?
- What skills are essential for breaking into AI-driven finance?
- How do you stay updated and separate useful information from industry “noise”?
- What topics and skills are covered in Udacity’s AI Trading Strategies Nanodegree program?
Watch now to gain insights into becoming a Quantitative Analyst in the Age of AI and see how Udacity can help you build a career in AI-driven trading.
Ready to level up? Start your journey in AI trading with Udacity today! https://bit.ly/3ClOtHd
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00:00 - Meet Metin Akyol
00:40 - What does a quantitative analyst do?
03:28 - What experience prepared you for this field?
05:20 - How long has AI been on your radar professionally?
07:00 - How has AI transformed the role of quantitative analysts?
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10:30 - Can AI models outperform human traders?
13:40 - How to balance AI-driven insights with human ones?
15:45 - What's something you wish AI would solve faster?
17:40 - Top advice for aspiring quantitative analysts?
21:00 - What skills are required to thrive in this field?
22:00 - How do you stay up to date with the industry?
26:00 - What students will learn in Udacity's AI Trading Strategies program?
---
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We want to thank all Udacity instructors over the years for their contribution to advancing the careers of professionals around the globe, and we hope everyone takes a moment to consider how you have been positively impacted by the passion, dedication, and expertise of the teachers in your life.
Learn more about the outcomes our instructors have driven for Udacity students: https://www.udacity.com/career-outcomes
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- The skills required to thrive in the AI industry
- How every tech professional can begin to master AI
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Jayden Ziegler – AI product expert and Udacity instructor – gives us his top reason in this clip. Curious to learn more tips of the trade? Then stay tuned for more one-on-one conversations with Jelani Thomas (of @VisionariesOnly) and the instructors behind the program!
Check out the AI Product Manager Nanodegree program here: https://bit.ly/47cKYyd
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And you can learn from her inside our newly revamped AI Product Manager Nanodegree program! Jasmine Lawrence, along with other distinguished AI product experts, designed this program to help professionals like you get all the tools you need to thrive in this fast-growing field.
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@amazonwebservices
---
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LinkedIn: https://www.linkedin.com/school/udacity/
Facebook: https://www.facebook.com/Udacity/
X/Twitter: https://twitter.com/udacity/media:description>
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title>How To Become A Data Scientist: A Conversation with Udacity’s Erin Hoffman/title>
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media:title>How To Become A Data Scientist: A Conversation with Udacity’s Erin Hoffman/media:title>
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media:description>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.crackingthecodinginterview.com/
Local Meetups: https://www.meetup.com
Connect with the Speaker:
Erin Hoffman: https://www.linkedin.com/in/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
---
Connect with us on social! 🌐
Instagram: https://www.instagram.com/udacity/
LinkedIn: https://www.linkedin.com/school/udacity/
Facebook: https://www.facebook.com/Udacity/
X/Twitter: https://twitter.com/udacity/media:description>
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title>Tired of Listlessly Scrolling? Try Udacity!/title>
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name>Udacity/name>
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published>2024-08-19T07:30:07+00:00/published>
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