New Free Course by Springboard and DataCamp
Are all Yelp restaurant reviews created equal? Should we place greater trust in reviews made by people who know the cuisine well? How about reviews of ethnic restaurants by people of that ethnicity or reviews by seasoned Yelpers? We may not be able to find the perfect restaurant all the time, but leave it to data science to give us tools to make our choices a little easier.
This free interactive tutorial will walk you through importing data, data manipulation, and data visualization. More importantly, it will teach you how to “cut through the noise” and deliver useful metrics for finding a great place to eat on Friday night! The course is an interesting take on a dilemma that we all face on a regular basis. Is the information that is available to us useful? In many cases, yes, but too often a cloud shrouds the real value that the information has. The best part of this course is getting to explore a real world problem and learning how to remove the haze for yourself!
This tutorial is based on a Springboard blog post by Robert Chen. The post was created as part of Robert’s project in Springboard’s Foundations of Data Science workshop with the help of his mentor, Andi Bandyopadhyay. Here you will learn the techniques that Robert used to tailor the Yelp star reviews for restaurants. We developed this course in partnership with Springboard, who recently created a free guide to data science careers.
Create your own course
Would you like to create your own course? With DataCamp Teach, you can easily create and host your own interactive tutorial for free. Use the same system DataCamp course creators use to develop their courses, and share your Python knowledge with the rest of the world.