In this article, we will explore the ranking parameters that can help you handle the ranking tasks in a more efficient and accurate manner. We discussed the basics of ranking in Python in our this tutorial “ Methods for Ranking in Pandas” where we looked into the most commonly used…

Exploring the binomial distribution in Python: understanding probability calculations for coin flips with different methods — In today’s article, I’ll show you how to apply statistics concepts, such as probability, in Python code. As a showcase, I’ll use the statistic interview question from Goldman Sachs and show you different ways to calculate the binomial distribution in Python. I also made a video tutorial on the same…

To excel at the Facebook interview process, you first need to know what it is. Let’s talk about it and solve several Facebook interview questions along the way. The Facebook hiring process is, at the same time, easy and very slippery. The easy part comes from the hiring process having…

Today, we’ll explore the data project that was a part of the recruitment process at Uber and uncover the key steps and requirements for success. Uber is one of the world’s largest ride-hailing companies, with millions of drivers and riders using its platform daily. To keep up with the growing…

Advanced Python explained in a way that even beginners can get it. We’ll give you an overview of the concepts and then dedicate a separate article to each. — Thanks to its simplicity and versatility, Python is a popular programming language. As you progress in your Python journey and data science career, you might encounter advanced Python concepts that may seem intimidating at first. Don’t worry!

What is that differs a good data project from the adequate one? There are five crucial elements we will talk about that will make your project stand out. Data science projects are the real deal when considering the technologies that have been coming to the surface daily. …

Here are the eight Python libraries that data scientists will find helpful. I won’t talk much. It will be a Python code and examples doing most of the talking. In machine learning and deep learning, Python provides a vast range of libraries that can perform various tasks such as regression…

List of the top 10 companies providing remote data analyst jobs. We’ll also have a detailed look into their roles and responsibilities. Guess there’s one benefit the pandemic brought about that turned all of you techies into homebodies. That’s right — work from home! As a data analyst, you do…

Master the random variables and probability distributions and crack your next Data Science Interview with the third part of our Statistics Cheat Sheet series — Random Variables In mathematical terms, a random variable is a number whose value is dependent upon the outcome of a random event. For example, if we define the random variable (X) to be the number of times, we get a head while tossing a coin twice.