I have recently moved from a data analyst role to a data scientist role. This might not sound like a big change to you, but in reality these two roles can be quite different. Disclaimer: This is my experience and it might be very different from yours! I just want…

This is the second post from my series on A/B testing. In part 1, we learned the idea behind an A/B test. In this post, I walk you through the statistics behind A/B testing and focus more on analyzing the results of the test. …

In this series of blog posts, I’d like to explain how to use machine learning algorithms to solve specific problems in the data science world. Here, in the very first post, I walk you through the definition of machine learning (or simply ML) and different types of learning algorithms. What is machine learning? According…

Imagine that we have two versions of a website, A and B. The only difference between these two versions is the design of the “sign-up” button. The question that we ultimately want to answer is that which version has higher conversion rate (users who sign-up/users who view the sign-up button). …

As a data analyst, I use Pandas package on a daily basis. It enables me to answer many questions about the data I’m working with. In this post, we are going through some of these questions and we’ll see how methods and functions in Pandas can help us to answer…