This is an online company that has gathered different data-related courses in one place. The provider has various classes mainly on R, Python, and SQL but also there are classes on Spreadsheets, BI, Tableau, and other topics. Those courses can be taken separately or as a set in frames of skill tracks or career tracks (read below about those formats). In a nutshell, the company includes more than 340 courses which are a combination of videos with practical assignments, over 50 curated learning paths, and more than 50 real-life projects.
Its 350+ courses are bite sized and digestible for learners, combining videos with interactive exercises to create an engaging learning experience. Its courses fall into 3 main areas, including learning a new technology, launching your career and mastering a specific skill:
DataCamp works on a subscription model offering a variety of different plans. An individual learner can choose from one of the three personal plans. The Free account ($0), the Standard ($25 a month) or the Premium ($33.25 a month). The Standard and the Premium accounts are billed annually, the Standard subscription is the most popular amongst users. In the top right corner is a currency converter for the pricing (see image below) making it convenient for all users.
The company offers solutions for employees who want to improve the data skills of their teams. This subscription allows creating custom learning paths and features tools for measuring the team’s progress as well as creating reports on that. DataCamp for Business offers 2 different Business Plans either the Professional or the Enterprise. The Professional plan ($25 per user a month) and you need to have a minimum of 5 users. If you are interested in the Enterprise plan (Custom price) you can contact DataCamp for pricing here.
Copyright © 2022 DataCamp Review All Rights Reserved
Disclaimer: All the links on this page are 'affiliate links'. This means we will earn commission from every customer we refer from this website. Our reviews are honest, we wouldn't waste your time or put our reputation on the line by recommending anything we didn't fully believe in.