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Why We Should Be More Like Winnie The Pooh | Khuyen Tran

Why We Should Be More Like Winnie The Pooh | Khuyen Tran

FromThe Artists of Data Science


Why We Should Be More Like Winnie The Pooh | Khuyen Tran

FromThe Artists of Data Science

ratings:
Length:
31 minutes
Released:
Jun 29, 2020
Format:
Podcast episode

Description

On this episode of The Artists of Data Science, we get a chance to hear from Khuyen Tran, a student of data science that is currently in pursuit of breaking into the field. She gives insight into how she prioritizes her tasks every day and strategies she uses to take notes and read books.
This episode gives our listeners a fresh perspective on how to approach the data science field, and some very interesting soft skills that you can implement to step up your game! Khuyen is definitely someone I believe will bring lots of value into the data science field.
WHAT YOU WILL LEARN
[3:23] Ways to boost your efficiency and learning rate
[9:34] What inspired Khuyen to begin writing her posts on data science
[11:42] How to initiate projects in data science
[26:43] Reading books the right way
QUOTES
[4:43] “…maximize important tasks over the urgent but not important tasks…”
[11:25] “…the best way to learn anything is not from taking notes, but from… using it.”
[24:15] “…learn to love whatever you are doing and you will start to do it really well.”
FIND KHUYEN ONLINE
LinkedIn: https://www.linkedin.com/in/khuyen-tran-1401/
Medium: https://medium.com/@khuyentran1476
Twitter: https://twitter.com/KhuyenTran16
Website: http://mathdatasimplified.com/
SHOW NOTES
[00:01:17] Introduction for our guest
[00:02:28] How did you get interested in Data science and machine learning. What kind of drew you to the field?
[00:03:02] Khuyen talks to us about her struggle to dedicate time for Data science, and shares some of the struggles and strategies that she's used to enable yourself to boost your learning rate and accomplish more.
[00:04:11] Khuyen talks about how she uses the Eisenhower decision matrix to manage her priorities
[00:06:11] How to manage the distactions that could derail you while you're studying
[00:07:17] How to cultivate the right mindset for studying
[00:09:23] Khuyen talks to us about some of the projects she's done and how posting her work on Towards Data Science has helped her
[00:10:55] Khuyen shares her tips for taking notes while studying
[00:11:32] How to come up with ideas for your projects
[00:12:46] How do you find the right Data? How do you organize your thoughts? How do you structure your project? How do you overcome these challenges?
[00:13:51] Tips for networking with experts in the field
[00:14:41] Some tips on how to identfy and use the right resources
[00:16:49] What's your data and analysis discovery process like?
[00:18:18] How to answer questions you don't know the answer to during an interview
[00:21:51] What's the one thing you want people to learn from your story?
[00:22:16] The lightning round Special Guest: Khuyen Tran.
Released:
Jun 29, 2020
Format:
Podcast episode

Titles in the series (100)

In his book, "Linchpin", Seth Godin says that "Artists are people with a genius for finding a new answer, a new connection, or a new way of getting things done." Does that sound like you? If so, welcome to The Artists of Data Science podcast! The ONLY self-development podcast for data scientists. You're here because you want to develop, grow, and flourish. How will this podcast help you do that? Simple. By sharing advice on how to : - Develop in your professional life by getting you advice from the best and brightest leaders in tech - Grow in your personal life by talking to the leading experts on personal development - Stay informed on the latest happenings in the industry - Understand how data science affects the world around us, the good and the bad - Appreciate the implications of ethics in our field by speaking with philosophers and ethicists The purpose of this podcast is clear: to make you a well-rounded data scientist. To transform you from aspirant to practitioner to leader. A data scientist that thinks beyond the technicalities of data, and understands the impact you play in our modern world. Are you up for that? Is that what you want to become? If so, hit play on any episode and let's turn you into an Artist of Data Science!