Python for data science: Getting started

Python is becoming an increasingly popular language for data science, and with good reason. It’s easy to learn, has powerful data science libraries, and integrates well with databases and tools like Hadoop and Spark. With Python, we can perform the full lifecycle of data science projects, including reading data in, analyzing data, visualizing data, and […]

How Data Scientist Yassine Alouini Keeps His Skills Sharp

To highlight how Dataquest has changed people’s lives, we’ve started a new blog series called User Stories where we interview our users to learn more about their personal journey and how we’ve helped them get where they needed to. In this post, we interview Yassine Alouini, Data Scientist at Qucit. Yassine got into data science […]

How Helena Tan went from Investment Banking to Data Science

To highlight how Dataquest has changed people’s lives, we’ve started a new blog series called User Stories where we interview our users to learn more about their personal journeys. In this post, we interview Helena Tan, Data Analyst at Fitbit. Helena worked in a variety of roles in private equity and investment banking after graduating […]

digitalocean-docker

DigitalOcean and Docker for Data Science

Creating a cloud-based data science environment for faster analysis There are times when working on data science problems with your local machine just doesn’t cut it anymore. Maybe your computer is old, and can’t work with larger datasets. Or maybe you want to be able to access your work from anywhere, and collaborate with others. […]