Tag: startup

statistics in data science and analytics

How not to be biased?

In the last 2 weeks I’ve introduced 9 common statistical bias types. If you went through them, you have already done the first very important step to overcome…

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….

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How to Create UTM Codes and Track Your URLs

Wouldn’t it be good to know where most of your traffic is coming from? What about email sign ups or even revenue broken down by social channels? How…

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Website Heatmaps – Tools, Features & Best Practices

Heatmapping is a simple and efficient way to analyze visitor interaction and user behavior on your website. If you are in a Conversion Rate Optimization (aka. CRO) project…

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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 – 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…

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The Conversion Rate Optimization 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…

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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…

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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,…

Strategy and Business in Data Science and Analytics

How data collection works?

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…

Strategy and Business in Data Science and Analytics

Data-resistance – How to evangelize the data driven mindset?

If you are reading this article, then most probably you care about data driven thinking and you like to make decisions backed by data. Bad news! Not everybody…

Strategy and Business in Data Science and Analytics

Reporting, Optimizing, Predicting – 3 things that you can do with your data

So there you are: you have millions and billions line of raw data. Regardless of which tools are you using to analyze it (Google Analytics, Mixpanel, Python, SQL,…

Strategy and Business in Data Science and Analytics

Why Data Literacy Matters

I ran a data driven test a few weeks ago at the startup where I work, where I tried to drive paid app installs. Along the way I…

Strategy and Business in Data Science and Analytics

Measuring Retention

Measuring retention? Why is it important? If you are running an online business, then these 2 goals are definitely on your list: To onboard as many new users as possible…

Strategy and Business in Data Science and Analytics

Product Research Interview – Product Development at Skyscanner

(This interview has been made March, 2015.) Last October news spread that Skyscanner bought Distinction. Since then, the change-over has been completed and the one-time Distinction is now 100%…

Strategy and Business in Data Science and Analytics

Big Data Interview I. – Prezi

I talked with Zotya Tóth from Prezi about data analysis, big data and different data interpretation methods and how it’s done at a successful startup like Prezi. (Note:…