Help Your Data Science Career By Publishing Your Work!. Learn how to write a great data science article, and where you can get it published to bolster your resume and improve your career!
This guide aims to cover everything that a data science learner may need to write and publish articles on the internet. It covers why you should write, writing advice for new writers, and a list of places that invite contributions from new writers.
Let's get to it!
Writing isn't just for "writers". The art of writing well is for everyone to learn - programmers, marketers, managers and leaders, alike. And yes, data scientists and analysts too!
You should write articles because when you do:
Writing teaches you the art of writing. It's kind of circular but it's true.
Make no mistake, the art of writing isn't about grammar (although, that's important) and flowery language (definitely not important). It's about conveying your thoughts with clarity in simple language.
And learning this art is important even if you absolutely know that you don't want to write blogs/articles for a living. It's important because all the jobs have some form of writing involved - messages, emails, memos and the whole spectrum. So basically, writing is a medium for almost any job you can have.
Apart from that, when you write you learn the things that you thought you knew but didn't really know. So, writing is an opportunity to learn better.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
They say, the first impression is the last, and thus resumes are the first impression of any professionals including data scientists while searching for a job.
If you have other resources, tips, or advice, please leave a comment below and I’ll update this post for others looking to advance their data career.
We will share a few tips that can help recent data science graduates to navigate through the complexity of starting a career amid pandemic.
These data science tools illustrated guides are broken up into four distinct categories: data retrieval, data manipulation, data visualization, and engineering tips. Both online and PDF versions of these guides are available.