TOP 10 PLACES TO PROMOTE YOUR DATA SCIENCE SKILLS
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In this day and age it is very important to know how to promote yourself. For example, when you want to find some help or some course, you ask Google or your best friends. We people love recommendation when we buy something or hire someone for example. It is same in business, especially in data science. I think promotion is equally important as your skills. People need to know what you can do. And remember nowadays everything is on the go. If you aren’t online, you don’t exist.
Of course If you promote yourself and you don’t have necessary skills or knowledge in that department it is really bad. Why is that? Because everything you publish online stays forever. You can only lie your customers few times,but what after that? For example one study from Harvard says that is 6 times more expensive to obtain one new customer, then to save your old customer. So customers are the most important. You should never lie or try to deceive your customers.
So believe me you must have skills and also to know how to promote it.
Here are top 10 places where you should have an online presence to truly stand out from the crowd:
1. LINKEDIN
Linkedin is the largest proffesional networking site avaliable today,and in my opinion really active. It has become a great way for you to share and exchange knowledge. Ideas and experience that could end in something more as a new project or new job, or even new mentor for you learning path. Having Linkedin premium account is really worth it. You have insights and data for everything you might be interested and also Linkedin learning platform.
2. PERSONAL BLOG
Blogging can be awesome way to show your skills, learn topics in more depth, and build an audience. There are examples of data science and programming blogs that have helped their authors (including me)land jobs or make important connections. Blogging is one of the most important ways of promotion that any data scientist should be doing on regular basis. You could post blogs on Medium or your personal blog. But I think going both ways is win win situation.
3. KAGGLE
Kaggle is platform built for predictive modelling and analytics competitors. The whole community competes to solve amazing challenges and produce the best models for predicting and describing data. Build your profile, up your skills and be the star candidate of any company that’s looking for proven talent.
Also wait for my next blog, where I will explain how to use your Kaggle account i best way.
4. GITHUB
The world’s leading software development platform: where millions of developers gather the code, share, create,review and work together in fascinating way and widespread projects. It is tough to learn Git and Github, but it is worthy your nerves and tears. Why? GitHub has become the go-to place for many HR departments to check how involved a developer has been with the community and measure how impactful he/she can be.
5. TABLEAU PUBLIC
Allows anyone to publish interactive and beautiful data visualization. These visualization can be embedded into webpages and blogs, shared on social media and email or made available to download so all users can enjoy. Because sharing is caring.
6. QUORA
Quora is question and answer site where the dynamic is simple: questions are asked, answered, edited and organized by its community. Quora is on a mission to share and grow the world’s knowledge and you shouldn’t be the exception.
7. YOUTUBE
YouTube is the most popular video site today. Hundreds of individuals use it in similar fashion as a personal blog. For example one video tells as five times greater than blog or text. It is place to share your interesting projects or even share and learn others skills you have already learned. I read somewhere that best way to learn something is to learn it in practical way and then teach others.
8. INSTAGRAM
My favorite platform. Also because it isn’t so used for data scientist. It is platform that hasn’t reached her potential in data science. People there are really engaged. Most important is that you have engaged community then to have a lot of followers. It is better to have 1000 active followers, than 20. 000 passive.
9. CROSS VALIDATED
validated is a questions and answer site for people interested in statistics, machine learning, data analysis, data mining and data visualization. Definitely a place where you don’t want to miss an opportunity to improve what you know with like-minded individuals.
10. WEBSITE
Your website is perfect place to promote yourself because you own it. Using SEO techniques and making quality content is essential If you want to do it seriously. It is important to make it responsive, because nowadays people use more mobile phones. On average people use 60% more mobile phones than desktop, think about that. You can make your website with WordPress. These days I will make tutorial how to make your first data science website using WordPress.
Until next time, I wish you happy analyzing!
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