Free data is everywhere! Firms publish their data anonymized on kaggle.com, governments participate in open data initiatives and banks open their payment transaction data to start-ups to offer new services for customers. Big firms like Facebook promote the data age…
There is no online marketing campaign without A/B testing. Marketeers use treatment and control groups to tests the suitability of a new design or feature on the conversion rate. A well thought test design is important to yield reliable and…
When you get your hands on a new dataset, describing the variables automatically can be extremely useful. Their distribution, quality (missings) and correlation to other variables determines their suitability for different statistical methods. As mentioned in the R-intro there are…
I recently read the book “How Google Works” by Eric Schmidt and Jonathan Rosenberg. Additional to brilliant company and industry insides, they advertise the ease of product development in a digital economy. In short they see the availability of data…
Data science is literally everywhere. Many firms look for skilled personnel to cover the subject in their company even if there is very little understanding for the subject. I see a lot of job offers, and talk to a lot…
In this short post, I will show you how you can access the number of Google search results using webscraping. The code is written in R. Be aware of rating limits to not get blocked, and read Google’s Terms of…
Decision trees being around since the 70’s. They are applied to many problems in modern machine learning and have different implementations. Why should you use trees? Well, decision trees are celebrated for their interpretability. You can explain the decision, why…
Communicating your results to the management is a key skill as a data scientist. There are many tools on the market which can make your life much easier. One of these tools is Tableau. I will review it regarding its…
Data scientists are highly in demand. Data are generated everywhere — from your smartphone/TV, car sensors, machines, to every camera. And the amount of data will rise tremendously (industry 4.0, Internet of things, etc.). Some companies already invest money and…
Before the industrial revolution in the 18th century began, more than half of all Europeans earned their money working on fields. The steam machine by James Watt changed this dramatically in the 18th and 19th century. A cheaper and more…
Unstructured data, here textual data, remain a big thing for the major players. Apple, Amazon and Microsoft use deep neural nets trained on huge amount of data obtained by their services and the web itself. Another example comes from politics.…
I studied statistical models as an econometrician, meaning I was trained to care a lot about assumptions and potential selection biases in the data. The final aim was to find causation. In applied data science people emphasis on predicting class…
R is an extremely popular programming language for statisticians, social science and data scientists. It ranks 5th of the most popular languages in general, it is open source and full with helpful and mostly user written packages. When you want…
