When it comes to stepping into the business of being a professional data scientist and probably landing your dream job, it is important to build a strong data science portfolio and personal brand. Recruiter usually tend to take a close look at your online presence and aim at identifying your track record and the projects you have been working on. Of course, the importance of your online portfolio plays an…
As a full stack data scientist, you need to be competent in a wide range of areas as discussed in previous posts. Consequently, this also leads to the necessity of executing various aspects of our data science process. To achieve this, good skills in one or many programming languages are required. On this website, we will heavily focus on Python as our programming language of choice. In this blog post, I…
In a previous post, we discussed what data science is all about. While doing so, we mainly focused on talking about the CRISP-DM model including the various steps of a typical data science process within a project. These steps usually start with understanding the business and data, which is then followed by data processing, preparation and modeling, before one evaluates the models and finally also deploys them. Traditionally, data science often…
According to Glassdoor, data science has been the hottest and best job in the United States for three years straight. But what is it actually about? In this post, I will try to provide a description of data science, basing it on a wide range of existing definitions of the field. In general, data science is a field encapsulating many different areas and thus, can be utilized for various areas…
Welcome to The Full Stack Data Scientist, a place where data scientists from all backgrounds and with all skill levels can connect, hopefully learn new aspects and insights of data science, and can further develop. My name is Philipp Singer, a data scientist living and working in Vienna. During my career in both scientific, as well as corporate fields, I have observed the need of a more full-stack view on data science.…
