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thoughts about data science and analytics

Data Analytics Basics (introduction)

You might have heard, that Data Scientist ranked as the best job of 2017 in the USA (based on Glassdoor’s research). Recently many IT professionals started considering to…

statistics in data science and analytics

Statistical Bias Types explained – part2 (with examples)

It’s time to continue our discourse about Statistical Bias Types. This is part 2 – if you missed part 1, read it here: Statistical Bias Types part 1….

statistics in data science and analytics

Statistical Bias Types explained (with examples) – part1

Humans are stupid. We all are, because our brain has been made that way. The most obvious evidence to this built-in stupidity is the different biases, that our…

Strategy and Business in Data Science and Analytics

Data visualisation and discovery with Tableau

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…

coding in data science and analytics

SQL for Data Analysis – Tutorial for Beginners – ep5

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…

coding in data science and analytics

SQL for Data Analysis – Tutorial for Beginners – ep2

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….

coding in data science and analytics

How to install SQL Workbench for postgreSQL

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…

coding in data science and analytics

SQL for Data Analysis – Tutorial for Beginners – ep1

SQL (Structured Query Language) is a must, if you want to be a Data Analyst or a Data Scientist. I have worked with many online businesses in the…

Strategy and Business in Data Science and Analytics

The structure of your Data Team. The flow of the data in your organization.

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…

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Usability testing (for Data Analysts)

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…

coding in data science and analytics

Data Coding 101 – Intro To Bash – ep5

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…

coding in data science and analytics

Data Coding 101 – Intro To Bash – ep4 (with video)

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…

coding in data science and analytics

Data Coding 101 – Introduction to Bash – ep2

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…

Analyze the Data! - Chapter 2

The Online Research Framework I Use at Data36…

… 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…

coding in data science and analytics

Data Coding 101 – Introduction to Bash – ep1

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…

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Five Second Testing

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…

coding in data science and analytics

When and why to build your own data tools?

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…

coding in data science and analytics

Data Coding 101 – How to install Python, SQL, R and Bash (for non-devs)

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…

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The 5 rules of A/B testing

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,…

statistics in data science and analytics

Predictive Analytics 101 – Part 2

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…