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 here articles and videos about data analysis, AB-testing, researches, data science and more...Tag: data Page 1 of 2
The usefulness of visualisations in data analysis is often questioned. At the end of the day, the outcome of the analysis should be quantifiable, right? Well, maybe. But…
Combining tables is a key component, when you are doing data analysis. And SQL is really good at it! Of course each case is different, but I’ve run…
This is the second episode of my SQL for Data Analysis (for beginners) series and today I’ll show you every tiny little details of the SQL WHERE clause….
In my previous SQL for data analysis tutorial I’ve briefly mentioned, that I prefer SQL Workbench over pgadmin4 for SQL querying. Today I will show you, how you can install it…
SQL is a must, if you want to be a Data Analyst or a Data Scientist. I have worked with many online businesses in the last few years…
Smaller companies have smaller data teams (maybe just one person), bigger companies have bigger. The tricky thing is that the several aspects of a data project need several…
Usability testing is a widely used research method to collect detailed and direct qualitative user feedback about your product (or website, mobile application, anything…) What is it exactly…
In this article I will show you 3 data coding concepts, that won’t only be useful in bash, but Python and R as well! Today we will go…
Data Coding in Bash – this is episode 4! Let’s continue with some basic bash best practices. Today I’ll show you 9 tips, that will make your data coding…
It’s time to continue with learning data science and data coding in Bash! Last time I covered the very basic orientation commands. Now moving on with the most…
… is exactly the same that many well-known startup and e-commerce companies are using. However somehow this fundamental research framework hasn’t been published anywhere so far! (As far…
Note: to get the most out of this article, you should not just read, but actually do the coding part with me! If you don’t have the data…
Every online data analyst and/or researcher should use – or at least be familiar with – qualitative methods. Even if you are heavily into analytics and even if…
For the record: I’m a big supporter of the third-party data services (eg. Google Analytics, Hotjar, Crazyegg, Optimizely, Mixpanel, etc.). I like them, because they are easy to…
The ultimate step by step guide – for non-developers and wannabe data scientists! This is how to install R, Python, SQL and Bash in 30 minutes and start learning…
If you are in an online business, most probably, you know what A/B testing is. (Sometimes it’s called split testing or bucket testing). And there is a big chance,…
Last week I’ve promised to continue with the second Part of Predictive Analytics 101. If you haven’t read the Part 1, please do that here: Predictive Analytics 101…
Predictive analytics is not a new or very complicated piece of science. As I mentioned before (Reporting, Optimizing, Predicting – 3 things that you can do with your…
Before you touch any of the tools, you have one extra assignment. Create your data research plan! It’s really-really important.
The first step for every data project is data collection, aka.: getting the actual raw data. There are two ways to do this: A) You can pick one…