First months as a data scientist: What I did (not) expect

First months as a data scientist: What I did (not) expect

Sometimes my friends ask me why I have decided to become a data scientist. My answer is almost always short: 'Because it is the most interesting job in IT nowadays'. I have a strong mathematical background from university and I have always wanted to work on unique solutions which bring something new to clients. My first job was an ERP (enterprise resource planning) programmer where I learned a lot from experienced people but I felt that I wanted to try something more interesting than regular programming. That's why I decided to change my position and applied for a data science job.

How to keep on top of Data Science trends

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How to keep on top of Data Science trends

Are you interested in Data Science? Great! That is something we have in common. We have been helping people become Data Scientists through our bootcamps and online courses for some time now. But education is only one part of being a great Data Scientist. With new technologies, tools, trends, and techniques emerging every day, you just have to follow what's going on in the Data Science world.

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BEHAVIORAL ANALYSIS OF GITHUB AND STACKOVERFLOW USERS

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BEHAVIORAL ANALYSIS OF GITHUB AND STACKOVERFLOW USERS

In this blog post, we will take a look at the activity on websites that became a significant part of development across all areas in, as well as, outside of Data Science: GitHub and StackOverflow. It doesn't matter where developers are from or what their specific focus is, everyone uses these websites.

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TUTORIAL: SCRAPING AND ANALYSING AMAZON REVIEWS

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TUTORIAL: SCRAPING AND ANALYSING AMAZON REVIEWS

In this tutorial we will show you how to scrape reviews from an amazon product page. This data can be used to create datasets for sentiment analysis or other educational or research purposes. If you sell products on Amazon it can even be useful to analyse the reviews to understand what customers like and dislike about your product. Let's dive in!

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