Top 5 mistakes every data science aspirant should avoid | part 1 

Hello everyone,
I hope you are doing well during this lock down.
I have created this video on the basis of my personal experience.
This video is especially for the data science aspirants when they start learning data science, they do a lot of mistakes and I have also done some.
Try not to do this mistakes while learning and also it's useful before preparing for interviews.
Here are few things which I have explained throughout the video :
1. Knowing theory is good but, practical knowledge is also important.
2. Reading from different resource is good but,combine material and make one notebook.
3. Not giving focus on puzzles, guesstimates and problem solving skills.
4. Focus on learning lots of tools, end up learning not a single tool properly.
5. Not focusing on communication skills.
Let me know in the comment section what are mistakes you have done and also how did you guys avoid those.
Instagram : jollitywithMuskan
LinkedIn : muskan sahu
Facebook : Muskan Sahu
If you like this video please give a thumbs up and share this video with the people who need this.
SUBSCRIBE TO MY RU-vid CHANNEL :
/ @jollitywithmuskan
#datascience, #jollitywithmuskan, #datasciencebeginners, #datascientist #aspiringdatascientist
Keep supporting "Jollity with Muskan"
Namaste :)