Data Science

How to Understand Coronavirus Data by Understanding Data Science

Your guide to understanding coronavirus numbers, death rates, and spread rates.
Data Science

Book Review: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

If you’re comfortable with coding in Python and want a quick introduction to both classic and deep learning techniques in Python from an experienced practitioner, “Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems” by Aurélien Géron just might be the book for you! Aurélien who? Aurélien Géron is […]
Alumni Stories

One Student’s Journey From Professional Basketball Player to Data Scientist

From Basketball to Big Data… “It’s okay if it feels impossible in the beginning you have to remind yourself it’s brand new and to build skill sets take time and practice.” //   Meet Flatiron School Grad Sabatino Chen!  He majored in math and then went on to play professional basketball in Asia.  He completed […]
Data Science

An Introduction to the Relational Database

As a data scientist, a big part of your job is obtaining the data that you need to operate on. In many companies, that data will be stored in one or more relational databases. The goal of this article is to introduce relational databases – what they are and why they’ve historically been so popular. […]
Data Science

Version Control for Data Scientists: A Hands-on Introduction

Historically, many data scientists didn’t use “software development” tools like version control systems. These days as their code becomes more sophisticated and data scientists are increasingly influenced by their software engineering partners, it’s becoming increasingly important to learn how to skillfully use a version control system like Git. In this brief, hands-on introduction, you’ll learn […]
Data Science

A Hands-on Introduction to Data Cleaning in Python Using Pandas

While most articles focus on deep learning and modeling, as a practicing data scientist you’re probably going to spend much more time finding, accessing, and cleaning up data than you will running models against it. In this post, you’ll get a quick, hands-on introduction to using the Python “Pandas” library. Whether you’re taking your first […]