How to thrive after a layoff

TDS Editors
Towards Data Science
3 min readJul 16, 2020

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Photo by Patrick Fore on Unsplash

How to survive a layoff during challenging times and thrive

By Kelly Peng — 10 min read

On May 5, 2020, I was laid off from my previous company. On June 30, 2020, I signed the offer from another company that I’m very excited about. I am writing this article to share the experience of some of my coworkers and myself from getting laid off to landing a new job in the midst of the global pandemic. I hope it could be helpful and encouraging to people who are going through layoffs.

Check these 4 things before you share your experiment’s results with your team

By Nimrod Priell — 7 min read

Classic experiment literature tacitly assumes the experiment will run once, and all participants arrive together and are logged and administered treatment. Web experiments (A/B tests) collect users over time, log exposure and treatment separately, and run in succession. This creates some pitfalls — here’s how to test for them.

Reconciling Causality and Statistics

By Pirmin Lemberger — 32 min read

Consider the following three pairs of concomitant events: “the sun rises shortly after the first crow of the rooster”, “the number of visits to some website tends to increase when an ad banner is shown in some appropriate location’’ and “the rate of skin cancer parallels the sale of ice creams on the French Riviera’’.

Don’t over-plan your Data Visualization

By Oskar Kocol — 11 min read

It is tempting to start the title of this article with something like “Top 10 lessons” or “5 easy steps”. We, people working with Data, love following some kind of framework or experimentally tested recipe. But coming up with one for Data Visualization would be a big stretch.

Stock Market Analytics with PCA

By Yao Lei Xu — 6 min read

Principal Component Analysis (PCA) is a powerful data analytics tool used in many areas of machine learning. However, despite its versatility and effectiveness, its application in finance is not as widely discussed. Today, I will talk about how PCA can be used in the stock market, how it relates to the Capital Asset Pricing Model (CAPM), and how we can use PCA to analyse the impact of COVID19.

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