Data science career tips from Ken Jee (Data scientist and a youtuber)
I had a conversation with Ken Jee who is a head of data science department in the scouts consulting group. He also runs a youtube channel on data science.
Ken Jee's channel: https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg
We discussed the following topics,
00:00 About ken
14:41 What's the most important trait/soft skills you look for when interviewing a candidate?
18:12 Do we need to know complex algorithms for python for data science?
22:43 I have to learn python and some libraries like Numpy, Pandas, Matplotlob.. does it sufficient?
25:13 As a beginner which sort of personal projects I should choose?
27:19 How we can deployment any Ml and Dl model in production with help of Flask or any other Platform?
28:49 How we can become expert in Data Analytics and Visualization Tools Like Tableau and Power BI
29:15 How much Important to having knowledge regarding the DataBase Management Like SQL
30:35 What is the best way to upskill me. Should I do more projects or compete in Kaggle competitions?
31:01 How the current situations impact the opportunity to become data scientist for freshers
35:25 Why data science jobs now get in a big demand?
40:12 How to prepare for data science interviews?
44:56 Which language you prefer for Sports Analytics R or Python?
45:23 Is Seaborn HeatMaps the best visualization for sports(Football, NBA, Cricket)?
48:05 What type of challenge you faced in data science projects?
51:25 Discuss Neural Networks and Backpropagation in Machine learning.
Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses.
Ken's project playlist: https://www.youtube.com/watch?v=MpF9HENQjDo&list=PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t&index=1
Data structures in python playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu_n_a__MI_KktGTLYopZ12
Gradient descent python: https://www.youtube.com/watch?v=vsWrXfO3wWw
Statistics book: https://amzn.to/3hdWJJt
Website: http://codebasicshub.com/
Facebook: https://www.fa
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Chapters (16)
About ken
14:41
What's the most important trait/soft skills you look for when interviewing a can
18:12
Do we need to know complex algorithms for python for data science?
22:43
I have to learn python and some libraries like Numpy, Pandas, Matplotlob.. does
25:13
As a beginner which sort of personal projects I should choose?
27:19
How we can deployment any Ml and Dl model in production with help of Flask or an
28:49
How we can become expert in Data Analytics and Visualization Tools Like Tableau
29:15
How much Important to having knowledge regarding the DataBase Management Like SQ
30:35
What is the best way to upskill me. Should I do more projects or compete in Kagg
31:01
How the current situations impact the opportunity to become data scientist for f
35:25
Why data science jobs now get in a big demand?
40:12
How to prepare for data science interviews?
44:56
Which language you prefer for Sports Analytics R or Python?
45:23
Is Seaborn HeatMaps the best visualization for sports(Football, NBA, Cricket)?
48:05
What type of challenge you faced in data science projects?
51:25
Discuss Neural Networks and Backpropagation in Machine learning.
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