Are you fresh out of a bootcamp? Then in my opinion, these are a few things you need to learn and apply, to score the data science career you are looking for.

1) How to deal with missing data?

Missing data are very common in the industry, thus it is important for data scientist to know who to handle missing data, given that there are myriad ways to  handle missing data, from replacing with mean, or realising there is no  need to fill up the missing value all the way to using linear/logistic  regression. Learn them, it will be useful!

2) Analysing data

NO! Data scientist have to learn how to analyse data, because they need to ascertain the quality of the data before feeding it into a machine learning model. Rubbish In, Rubbish Out. Data Scientist have to ascertain the  quality of data and this is where analysis skills comes in.

Moreover, through analysis it helps the data scientist to better understand the biz process and collection process of data.

3) Structuring Dataset

In  most of the boot camps, given the time constraint, the dataset are  usually prepared in advance. But in the industry, you get denormalized  data which you will need to build up to the dataset that you need for  your analysis or machine learning. This is something you will need a lot  of practice on. Start practicing!

Congrats on completing your  boot camp/course but the learning journey continues. I hope the above  learning suggestions will put you in a direction to your dream data job. :)  

I wish you all the best in your data learning journey! :)

Will love to hear from you! You can share them with me on my LinkedIn. Please feel free to link up on LinkedIn or Twitter (@PSkoo). Do consider signing up for my newsletter too. I just started my YouTube channel, do consider subscribing to it to give support! Good luck and all the best in your job hunt this year!

Consider supporting my work by buying me a "coffee" here. :)