Why We Should Be More Like Winnie The Pooh | Khuyen Tran
June 29th, 2020
31 mins 6 secs
About this Episode
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
[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
[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