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If you are about to start with technical blog in the field of Data Science that would give you more than 50K views, then this blog is for you. In this blog I will uncover the strategies I used in my first year of writing technical blogs in Data Science, Machine Learning, DL and AI that got me more than 170K views and more.
Before moving to the main story, I would like to say Huuuuuge Thank You to my readers and to my subscribers who consistently view, read, and promote my content across various platforms. It’s incredible to get “thank you” responds, emails and messages from you, and to get your feedback on my content.
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If you want to write a technical blog, it’s important that your content be specific and useful. You also need to make sure that people will actually read it and not just to scroll down. To do this, you’ll need to think about what makes an article interesting — and how best to share it with others who are also interested in the topic at hand. In this article I will tell you about how I wrote blogs that got more than 50K views.
For transparency I will put here the views from some of my Medium blogs.
Following 3 blogs are 3 of my most popular blogs that I still this day get emails, LinkedIn thank you messages and get shared on various platforms including Twitter, Facebook, LinkedIn and more:
[Fundamentals Of Statistics For Data Scientists and Data Analysts
Key statistical concepts for your data science or data analytics journeytowardsdatascience.com](https://towardsdatascience.com/fundamentals-of-statistics-for-data-scientists-and-data-analysts-69d93a05aae7 "towardsdatascience.com/fundamentals-of-stat..")
[Simple and Complete Guide to A/B Testing
End-to-end A/B testing for your Data Science experiments for non-technical and technical specialists with examples and…towardsdatascience.com](https://towardsdatascience.com/simple-and-complet-guide-to-a-b-testing-c34154d0ce5a "towardsdatascience.com/simple-and-complet-g..")
[Monte Carlo Simulation and Variants with Python
Your Guide to Monte Carlo Simulation and Must Know Statistical Sampling Techniques With Python Implementationtowardsdatascience.com](https://towardsdatascience.com/monte-carlo-simulation-and-variants-with-python-43e3e7c59e1f "towardsdatascience.com/monte-carlo-simulati..")
What is in common for those 3 blogs are the following:
Writing about something that you actually know something about, enjoy and are passionate about is key to your success as a blogger. If you’re not writing about something that interests you or makes sense to the reader, it will be difficult for them to stay engaged with your content.
If I had one piece of advice for anyone who wants to start blogging but isn’t sure what kind of content would work best for their audience: Write about something interesting for people like you!
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To come up with an idea for a technical blog post, you first have to decide what you’re passionate about. Then think about what your readers are interested in and write about that topic. Finally, choose a topic that’s relevant to the business or industry you’re working in — this will help keep the post focused and make it more interesting for people who read it (and hopefully convince them to share it!).
The first thing you need to consider is when and where you want your blog post published. When choosing a time, consider what would be most beneficial for your audience:
When you’re ready to start writing your first technical blog, there are a few things that you’ll want to consider. First and foremost is choosing a site with a good reputation. If people are already visiting your site frequently, they’ll be more likely to trust what you write about and read it in full (if not immediately). This can lead to better engagement with readers and more traffic for both yourself as well as other writers who publish on the same platform.
Another factor is how easy it is for readers/visitors/etc., so don’t choose one that’s too difficult or confusing! A good way around this issue would be using automation tools like HubSpot’s On-Page SEO options which allow users create content from scratch without having any programming experience whatsoever — a huge benefit when compared against outsourcing these tasks out because most people won’t do them anyway anyway ;)
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It’s important to use social media to publicize your blog. Social media is a great way to get exposure, but you should also be aware of the fact that it can be a risky business. If someone posts something negative on their page, it might get shared across multiple platforms and have an effect on your reputation as a writer and blogger.
For instance people visiting my LinkedIn and my Github can also see my blogs and in this way they ca land on by Medium account.
[TatevKaren — Overview
I’m Tatev Karen Aslanyan, Data Scientist and Quantitative Analyst with strong background in Mathematics, Statistics…github.co](https://github.com/TatevKaren "github.com/TatevKaren")
You can use the hashtag #blog and #blogging when posting about your new blog post or even just when sharing general information about it (e.g., “Hey everyone! I’m writing another article about Machine Learning or Data Science!”). This will help people find out what topics are being discussed through social media channels like Twitter or Facebook so they can follow along with everything going on in this space!
Another way we recommend using social media networks is by using hashtags such as: #machinelearning , #ai , etc., which will give readers access not only into our latest blog posts but also into all sorts of other interesting topics related specifically towards AI technology development within Machine Learning & Deep Learning platforms.”
If you want your technical blog to go viral, you need to be strategic in how and when you post. The best time for a blog post is when the news is hot or trending. You can also use social media sites like Facebook or Twitter as another way of publicizing your content. The key here is timing: don’t just write about something that happened recently; instead, choose a topic that has relevance for now and make sure it’s interesting enough so people will want information on it (but not too much).
If there aren’t any specific topics relevant right now but still want their readership interested in them then go ahead with writing one anyway because once it gets published anywhere online then there are plenty more places where people will find out about this particular piece of content — including other blogs!
I hope this blog post has inspired you to start a blog and take your technical writing skills to the next level. I know how challenging it can be, but if you keep at it and try out some of these methods, I promise that before long you’ll have a successful blog. In fact, if this post has given you any inspiration whatsoever, please go ahead and share it with others who might benefit from knowing about these tips!
[Understanding Bias-Variance Trade-Off, Overfitting and Regularization in Machine Learning
Introduction to bias-variance trade-off, overfitting & how to solve overfitting using regularization: Ridge and Lasso…towardsdatascience.com](https://towardsdatascience.com/bias-variance-trade-off-overfitting-regularization-in-machine-learning-d79c6d8f20b4 "towardsdatascience.com/bias-variance-trade-..")
[Data Sampling Methods in Python
A ready-to-run code with different data sampling techniques to create a random and representative sample in Pythontowardsdatascience.com](https://towardsdatascience.com/data-sampling-methods-in-python-a4400628ea1b "towardsdatascience.com/data-sampling-method..")
[Complete Guide to Linear Regression
Everything you need to know about the simplest yet the most popular Machine Learning regression modelpub.towardsai.net](https://pub.towardsai.net/complete-guide-to-linear-regression-86c5eddb7eda "pub.towardsai.net/complete-guide-to-linear-..")
[How to Crack Spotify Data Science Onsite Interview
End-to-end Data Science Case Study to Crack Spotify Onsite Interview with Tips and Python Implementationtowardsdatascience.com](https://towardsdatascience.com/spotify-data-science-case-study-what-makes-a-playlist-successful-28fec482c523 "towardsdatascience.com/spotify-data-science..")
[Essential Statistical Tests For Statistical Significance in Machine Learning
Must know statistical tests for testing statistical significance of features in Regression Model: One-sided & Two-sided…pub.towardsai.net](https://pub.towardsai.net/essential-statistical-tests-for-statistical-significance-in-machine-learning-78298295648f "pub.towardsai.net/essential-statistical-tes..")
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[A/B Testing — LunarTech
Our data science bootcamp stands out from traditional degrees by offering a comprehensive and practical learning…lunartech.ai](https://lunartech.ai/a-b-testing/ "lunartech.ai/a-b-testing")
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