Hey, I'm Tomi Mester. This is my data blog, where I give you a sneak peek into online data analysts' best practices. You will find articles and videos about data analysis, AB-testing, research, data science and more…
I put together a ‘Python 3 for Data Science’ tutorial series starting from the very basics. It features 9 practical articles – that covers everything you need to know!
In my previous landing page A/B test case study, I promised to get back to you with a few A/B testing misconceptions. In this article, I’ll share three…
Data Science is trending! Year by year more and more online businesses start their first data science projects, build up their data teams, hire more data scientists and…
Doing Data Science without a sense of business is like playing chess without the kings on the board. For every business, making its products or services better is…
This is a guest post from Ben Collins – freelance data analyst and developer, and founder of The Collins School of Data. What is Google Data Studio? Data…
Let’s continue with the pandas tutorial series. This is the second episode, where I’ll introduce aggregation (such as min, max, sum, count, etc.) and grouping. Both are very…
Pandas is one of the most popular Python libraries for Data Science and Analytics. I like to say it’s the “SQL of Python.” Why? Because pandas helps you…
Did you know that Python wasn’t originally built for Data Science? And yet today it’s one of the best languages for statistics, machine learning, and predictive analytics as…
So far we have worked with the most essential concepts of Python: variables, data structures, built-in functions and methods, for loops, and if statements. These are all parts…
In my Python workshops and online courses I see that one of the trickiest things for newcomers is the syntax itself. It’s very strict and many things might…