The first month of the new decade is almost at an end. It’s also “job-hunting” time when students start looking for internships and employees think about switching roles and companies, in search of better salaries and opportunities. If you fall into one of these categories, then here are the ...

The first month of the new decade is almost at an end. It’s also “job-hunting” time when students start looking for internships and employees think about switching roles and companies, in search of better salaries and opportunities. If you fall into one of these categories, then here are the ...

In this tutorial, we will explore the open roles at Google, and try to see what common attributes Google is looking for, in future employees.   This dataset comes from the Kaggle site, and contains text information about job location, title, department, minimum and preferred qualifications and the responsibilities of the ...

In this post, we will use the Zillow rent dataset to perform  exploratory and inferential statistics. Our main goal is to identify the most expensive real estate cities in US.   Input Files: The Kaggle dataset contains two files with rental prices for 13000+ cities across the time frame Nov 2010 – Jan 2017. One […]

In today’s tutorial, we are going to learn how to implement Monte Carlo Simulations in R. Logic behind Monte Carlo: Monte Carlo simulation (also known as the Monte Carlo Method) is a statistical technique that allows us to compute all the possible outcomes of an event. This makes it ...

This is the second post of the Sberbank Russia housing set analysis, where we will narrow down the variables of interest and create a roadmap to understand which factors significantly impact the target variable (price_doc). You can read the introductory first post here.   Analysis Roadmap: This Kaggle dataset has ~290 ...