Read on Twitter
- 10 ways to Attract Big Data science/Machine learning companies as an undergraduate or junior developer.
This are things I learnt the hard way and I don't want people to make same mistake.
- A thread
This are things I learnt the hard way and I don't want people to make same mistake.
- A thread
Build your Github: As a Data scientist you should learn about git & github at the earlier stage. It will help you , the importance of open source can't be overemphasized
Read other's code , try learn and contribute everyday .it will make your journey in DS go faster.
Read other's code , try learn and contribute everyday .it will make your journey in DS go faster.
Build your Linkedln : Use Linkedln effectively ,don't just have an account and dump it. Write the list of companies you aspire to work for connect with them. Share anything you do there, update your Linkedln profile.
Complete profile+Active user easily pop out when searching.
Complete profile+Active user easily pop out when searching.
Still on Linkedln
The best time to post on Linkedln from my research is on Tuesday & Wednesday between 9-1pm
They get the most engagement and views
Personally have observed Tuesday is the best.
Post quality content.
The best time to post on Linkedln from my research is on Tuesday & Wednesday between 9-1pm
They get the most engagement and views
Personally have observed Tuesday is the best.
Post quality content.
Medium & speakerdeck : As a Data Scientist communication is the most important soft skill you need to have
Which include : Writing , Speaking and presentation.
Use Medium , Hashnode and so on, for writing articles ...it will help you ...share your work .
Which include : Writing , Speaking and presentation.
Use Medium , Hashnode and so on, for writing articles ...it will help you ...share your work .
Still on communication, Don't write for the sake of writing . Write to teach people
Quality matters.
Speaker deck : Apply to speak at event ,it put you out there too.
Quality matters.
Speaker deck : Apply to speak at event ,it put you out there too.
Twitter : Twitter is one powerful social media you can't ignore
Put yourself out there on twitter , follow people that inspire you ,people you will learn from.
Put yourself out there on twitter , follow people that inspire you ,people you will learn from.
Resume : Use http://resume.io to build resume
They have nice template , it cost less than 2k sacrifice the money ,you know what you want. Build as much resume for different data jobs description,tailor you resume to the job.
They have nice template , it cost less than 2k sacrifice the money ,you know what you want. Build as much resume for different data jobs description,tailor you resume to the job.
Zindi / kaggle : compete on this platforms you will learn ,meet new people .
You learn a lot through competitions
You learn a lot through competitions
Bootcamp / meetups : Going for bootcamps and meet ups will help you as a beginner .
You make like friends of like minds that make you not give up even when it is not easy.
Communities expose you to alot ,you become known in your field by others.
You make like friends of like minds that make you not give up even when it is not easy.
Communities expose you to alot ,you become known in your field by others.
Tableau profile : if you are interested in building visualizations ,having a tableau profile will help you. It is the github of data visualization.
It make you have a portfolio of visualization and you learn from others in different part of the world
It make you have a portfolio of visualization and you learn from others in different part of the world
Writing research papers : This is not really easy as an undergraduate but if you go to the extent of making research to writing research paper on research gate ,arxiv and so on.
I bet you will be unique ,people barely do this.
Start with group papers ...
I bet you will be unique ,people barely do this.
Start with group papers ...
Note : All this are in no format ,you can start from anywhere
But it is advised to start from the apex.
But it is advised to start from the apex.
compile @threader_app
