After some prodding, we’ve finally decided to open-source some of the conversations between professional data scientists and their mentees on SharpestMinds’ internal Slack. We hope this will let more people benefit from the expertise on SharpestMinds, even if they don’t have access to the community directly. The problems that a company needs to solve determineContinue reading “How to interview at consulting companies”

# Author Archives: SharpestMinds

## Point Biserial Correlation with Python

All about point biserial correlation, and how you can use it to figure out if a multiple-choice question is either too hard or too easy.

## Confidence intervals for time series data: SharpestMinds Slack chats

After a lot of prodding, we’ve finally decided to open-source some of the conversations between professional data scientists and their mentees on SharpestMinds’ internal Slack. We hope this will let more people benefit from the expertise on SharpestMinds, even if they don’t have access to the community directly. You can view a an earlier SlackContinue reading “Confidence intervals for time series data: SharpestMinds Slack chats”

## The hardest question you’ve been asked in a data science interview

Our mentors and mentees discussing the hardest questions they’ve ever been asked in their job interviews, and how to answer them.

## Hypergeometric Distribution Explained With Python

An explanation of a common statistical distribution using Magic: The Gathering, elementary school admissions, and Chinese card games.

## Toronto Crime and Folium

An in-depth analysis of crime in the City of Toronto, with a heat map of the most dangerous neighborhoods.

## How Teachers Can Quickly Group Their Students with Machine Learning

A new way for teachers to build student groups who have complementary skills, using machine learning.

## The problem with data science job postings

Why data science job descriptions can be so inaccurate, and how to tell which postings you should apply to.

## What no one will tell you about data science job applications

Understanding the hiring process from the inside, and what it means for your application.

## Quality over quantity: building the perfect data science project

How to build a project that employers will actually care about.