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…
100% practical 6-week data science challenge & video course — simulating of being a junior data scientist at a true-to-life startup.
Learning SQL is very useful for anyone in the online world. And it’s a definite must for Data Analysts/Scientists! Here are 8 articles to start with…
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!
Read these 7 free articles about Bash/Command Line and take your very first step to learn the basics of coding for Data Science!
I decided to create a dictionary which unifies the most used data expressions and places them within a clear framework. This is an 54 pages handbook and actually it’s…
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…
Not so long ago, I saw one of my data scientist friends speak in front of his whole company. He worked for two months on a great data…
A few years ago, I put a lot of work into a hobby project of mine: a self-learning Python chatbot that learns like a newborn baby. It was…
Over the last 6 years I’ve been part of many job interviews – on both sides of the table. The most fun, but also the most feared, part…
This is the third episode of my pandas tutorial series. In this one I’ll show you four data formatting methods that you might use a lot in 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…
Last time I wrote about Python For Loops and If Statements. Today we will talk about how to combine them. In this article, I’ll show you – through a…
Connecting Google Data Studio to your PostgreSQL database is easier than you would think. I will walk you through the whole process step by step. By the end…
Following the previous article about creating data tables in SQL, now we want to load data into our freshly created SQL table. In this article, I’ll show you…
Working with SQL for data analysis sometimes requires creating new tables. Do you want to store the output of your SQL queries? Do you need to pull new…
Last time I wrote about why it’s worth it to become a data scientist. This time I’d like to answer another important and very common data science career…
Why become a data scientist? From time to time, I get this question from people who are flirting with the idea of becoming a data professional. Since you…
As I have mentioned several times, Data Science has 3 important pillars: Coding, Statistics and Business. To succeed, you have to be well-versed in all three. In this…