If you’re looking to start a data science blog, there are plenty of resources available. In fact, there are so many great options that it can be difficult to decide where to start.
One great place to get started is with Dataconomy. Dataconomy is a search engine for data science blogs and offers a free and paid subscription service.
Once you have set up an account, you can browse the list of data science blogs and find ones that appeal to you.
Once you’ve found a blog that interests you, it’s time to start writing. The first step is to find a topic that you’re passionate about.
Once you have a topic in mind, it’s time to research the best practices for data science blogging. This includes learning about data pre-processing, data analysis, and machine learning techniques.
Once you have a solid understanding of the basics, it’s time to start writing. Try to write at least one post per week and make sure your posts are well-written and engaging.
If you follow these steps, I believe that you will be able to start a successful data science blog.