🤔How to Stand Out as a Junior Data Scientist/ Data Analyst

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If you are starting out as a data analyst or a data scientist and looking for ways to excel in what you do, this video is for you! Today I'm sharing with you 5 ways to stand out and get better at what you do - and it's not about getting a degree or certificate.
As usual, you can find the timestamps below for quick reference:
=============================
0:00 - Intro
0:25 - Coding best practices
1:08 - Use coding style guides
1:24 - Stick to important coding principles
1:45 - Naming conventions
2:15 - Document and comment your code!
2:52 - Keep your functions simple (refactoring)
3:18 - Keep an eye on code performance
3:52 - More (advanced) coding practices
4:15 - Code version control (Git)
5:45 - Level up your data visualization skills
7:46 - Don't work alone, remember to get help
9:24 - Develop a personal portfolio
10:24 - Outro
RESOURCES:
=============================
A simple guide to Object oriented programming (OOP) for data scientists (my Medium article)
towardsdatascience.com/a-simp...
Pro Git book:
git-scm.com/book/en/v2
Storytelling with data (Cole Nussbaumer Knaflic):
www.amazon.com/Storytelling-D...
Visualize this (Nathan Yau)
www.amazon.com/Visualize-This...
Awesome data science Git repo (for learning):
github.com/academic/awesome-d...
👩🏻‍💻 COURSES & RESOURCES
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
📖 Google Advanced Data Analytics Certificate 👉 imp.i384100.net/anK9zZ
📖 Google Data Analytics Certificate 👉 imp.i384100.net/15v9y6
📖 Learn SQL Basics for Data Science Specialization 👉 imp.i384100.net/AovPnJ
📖 Excel Skills for Business 👉 coursera.pxf.io/doPaoy
📖 Machine Learning Specialization 👉 imp.i384100.net/RyjykN
📖 Data Visualization with Tableau Specialization 👉imp.i384100.net/n15XWR
📖 Deep Learning Specialization 👉 imp.i384100.net/zavBA0
📖 Mathematics for Machine Learning and Data Science Specialization 👉 imp.i384100.net/LXK0gj
📖 Applied Data Science with Python 👉 imp.i384100.net/gbxOqv
🙋🏻‍♀️ LET'S CONNECT!
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🤓 Join my Discord server: / discord
📩 Newsletter: thu-vu.ck.page/profile
✍ Medium: / vuthihienthu.ueb
#ThuVu #Datanerd #DataAnalysis #CoffeeData #DataScience #dataanalytics

Опубликовано:

5 июл 2024

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Комментарии : 29

@Thuvu5 3 года назад

Timestamps for your quick reference. Enjoy! 0:00 - Intro 0:25 - Coding best practices 1:08 - Use coding style guides 1:24 - Stick to important coding principles 1:45 - Naming conventions 2:15 - Document and comment your code! 2:52 - Keep your functions simple (refactoring) 3:18 - Keep an eye on code performance 3:52 - More (advanced) coding practices 4:15 - Code version control (Git) 5:45 - Level up your data visualization skills 7:46 - Don't work alone, remember to get help 9:24 - Develop a personal portfolio 10:24 - Outro

@rozariodsouza6810 2 года назад

I have just transitioned into a data analyst role from a sales engineer background. The knowledge that you've provided motivates me to keep improving myself. Thank you for your efforts and keep doing the good work!

@Thuvu5 2 года назад

Glad it was helpful, Rozario! Good luck with everything you do 💪

@darvinsures5813 Год назад

Just came across your video, I am a junior analyst currently and the content is relevant to me and easily understandable :) Thank you very much for your video.

@guerrerobruce 2 года назад

You are my new favorite RU-vidr. Your explanations are simple and extremely useful to become a data scientist.

@Thuvu5 2 года назад

Aw, thanks so much for this Bruno 😄. I'm trying to get better at explaining things. Glad to hear it was useful for you 🙌🏽

@ecojumeau Год назад

Thanks a lot for the video, Thu 🔥🔥

@TheMISBlog 2 года назад

Thanks for making such a nice video, Keep up the good work

@PaulasPicks 2 года назад

Thanks for these practical tips, Thu! I also appreciate the resource list, so I can improve my self-study!

@Thuvu5 2 года назад

Hey Paulas, I’m glad it helped! 🙌

@Frabby2411 2 года назад

Your videos are super helpful.. Not too technical but you explain things in such a way that's easy to understand for newbies like me. Thousands like for you.. Though RU-vid allows only one.

@Thuvu5 2 года назад

Aw thank you!! So glad it helped! 🙌

@lynnko4638 2 года назад

Thank you for sharing knowledge on every single video. Keep creating more contents like this for peoples like us.

@Thuvu5 2 года назад

Hi Lynn! Thank you for commenting. It’s really encouraging to me ☺️

@Jag5446 2 года назад

thanks so much for these suggestions

@Thuvu5 2 года назад

My pleasure! Thank you for your feedback.

@samidelcueva 2 года назад

Thanks for the information on best practices of coding. I struggle a lot in my work with that. I must use a lot of this information.

@Thuvu5 2 года назад

That’s awesome to hear! Thank you for commenting :-)

@suleimanumar258 2 года назад

Thank you!

@joxa6119 2 года назад

Thank you for the video. Can I request for you to make a video for someone who is not in Data Science field but want to have career shift into this field?

@milikest 2 года назад

Wonderful content.

@Thuvu5 2 года назад

Thank you 🙌

@markx348 Год назад

start watching your videos...this is the 5 one in your videos...i just need some information and to come up to a decision if it is really worth study and practice at older age of 41...i just thinking to change career...hope it's not to late. thanks for the videos...mark 41,warehouse staff,pampanga philippines

@ef7496 Год назад

No one is reading anymore 😢 do you have video resources for what you said that can help us . Thank you

@markcuello5 2 года назад

Help me

@jasonsykes4199 2 года назад

I come from a computer science background. Please limit your comments to a minimum. It should be used only to describe details that the variable name cannot. Your variable names should be the main description of what the code does. Put more effort into variable naming.

@Thuvu5 2 года назад

Thanks for sharing this Jason! 🙌 Totally agreed about how important variable naming is!!