From Think Like a Data Scientist by Brian Godsey

In this article, you will learn about how to choose statistical software tools – what’s important to look for and the things you should consider while choosing the software that’s right for the job.

From Think Like a Data Scientist by Brian Godsey

In this article, we’re going to discuss the importance of identifying and reviewing any assumptions you might have about the data you’re working with.

From Think Like a Data Scientist by Brian Godsey

Data is very useful, but you have to ask it the right questions to get useful answers. This article delves into the kinds of questions you should be asking your data if you want to make the most of it.

From Think Like a Data Scientist by Brian Godsey

Every project in data science has a customer. Sometimes the customer is someone who pays you or your business to do the project – for example, a client or contracting agency. In academia, the customer might be a laboratory scientist who has asked you to analyze their data. Sometimes the customer is you, your boss, or another colleague and its important to set good goals.