Pandas snippets that come in handy in data analysis work — Pandas is a versatile and powerful library for data science. It’s like a swiss army knife for data science because it provides so many useful functions for different tasks for dealing with data. To be effective with this tool, you need to know some tricks of the trade. In this…

Master the essential Python fundamentals — As a data scientist, you’re no stranger to the power of Python. From data wrangling to machine learning, Python has become the de facto language for data science. But are you taking advantage of all the features that Python has to offer? In this article, we’ll take a deep dive…

Using the open-source Python package — fasteda — Are you writing the same code to create plots for different datasets? With FastEDA, you can perform exploratory data analysis (EDA) with just one line of code 🚀. This article will explore what FastEDA can do, dig into the code, and walk through its output on a real-world dataset. Let’s…

Make your resume stand out with these projects and get hired — In today’s competitive job market, being a data scientist requires more than technical skills. It requires the ability to problem-solve and clear communication. But how can one gain these skills without work experience in the first place? By building data science projects. As a university student, I’ve seen firsthand how…

The better way to create new columns in Pandas — If you’re like me, and you’ve always used the index assignment (dictionary) way to create a new column (i.e. df[“zeros”] = 0), then it’s time you learn about the .assign() method. If you come from R, specifically the dplyr library, you’ll feel right at home with the .assign() …

Learn faster and better from videos using these tools — With the huge wave of AI tools being released daily, there’s no better time to start using them to consume information more efficiently on the internet. YouTube is a phenomenal platform for learning new things, but watching an entire video can be time-consuming. So why not use GPT to summarize…

Boost your data science workflow with these open-source packages — Python has become an essential tool for data scientists across the world. To help you boost your efficiency doing data science, we’ve put together a list of the 10 most useful Python libraries for data scientists. From speeding up your workflow with distributed computing to helping you perform feature engineering…

A collection of the best resources for online experiments — I was recently studying up on A/B testing for my final round interview with the Glassdoor Decision Science team. I had very little knowledge of A/B testing beforehand and devoted a full week to voraciously consuming articles, videos, and interview questions. How to learn A/B testing? After a good amount of searching, I concluded that…

On Machine Learning concepts, ML System Design, and Python — These are interview questions for a new-grad Machine Learning job at an NYC startup that pays $175k per year. Thanks to Nick Singh for the questions! (See his LinkedIn post) Let’s jump into the questions. Get the code → Deepnote Preparing for a data science interview? Read this article👇 22 Essential Data Science Interview Questions You Need to Know Questions asked by Amazon, Accenture, ANZ, Wells Fargo, and more on regression analysismedium.com