In today's video we're tackling the challenge of getting a data science/machine learning job with no previous experience. I'll go through all the options (Udemy/Coursera, Kaggle, open source, degrees, projects, etc.) and which are the most effective for getting that first job.
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⏰ Timestamps
00:00 Introduction
00:50 The importance of a portfolio for beginner Data Scientists/Machine Learning Engineers
01:29 Least effective for portfolios: Coursera and Udemy
01:58 Kind of effective for portfolios: Course work
02:29 Slightly more effective for portfolios: Kaggle
02:48 Getting better: Contributing to open source and StackOverflow
03:28 Even better: Self-motivated projects that emulate real work
03:58 Best for portfolios: Real (probably unpaid) work for real clients
08:00 Marketing your experience in application materials and LinkedIn
09:34 How to get job interviews as a beginner Data Scientist/Machine Learning Engineer
10:52 How to prepare for interviews as a beginner Data Scientist/Machine Learning Engineer
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🎥 Other videos you might like:
How Over-Preparation Helped Me Succeed in Data Science & ML Interviews
https://www.youtube.com/watch?v=Eo2Z4Lp18gg
Why Your Job Rejections Aren't Just Bad Luck
https://www.youtube.com/watch?v=2cE1nTguydw
How I 5x'd My Income Working in AI/ML with a Non-Technical Background
https://www.youtube.com/watch?v=6lm8ttDGUMo
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🦫 About me
I am an Applied Scientist (basically, a blend of Data Scientist/Machine Learning Engineer) at Twitch/Amazon. Outside of my full-time job I'm a technical mentor at a machine learning bootcamp, and a
1:1 career coach for people looking to break into the field, with a focus on those from non-traditional backgrounds.
I’m also a Certified Personal Trainer, always busy with too many interests, and really, deeply happy with my life. I hope to be able to help others achieve these things, too.
Instagram: https://instagram.com/gratitudedriven
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✉️ Contact
Leave me a comment here on YouTube!
Business email:
[email protected]
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⚖️ Disclaimer
The views and opinions expressed in this video are my own and do not reflect the official policy or position of Twitch/Amazon or any other company I have worked for. All advice and insights shared here are based on my personal experiences and should be considered as such.
#datascience #machinelearning #careeradvice #techjobs #careertransition #marinawyss #gratitudedriven