Digital transformation after the pandemic, optimizing supply in an on-demand economy, the use of AI in national security and more in the August edition of the DataCamp Digest.

After training on DataCamp and successfully getting certified as professional data scientists, see how Peter and Sebastian landed roles in their target industries through DataCamp’s help.

DataCamp is pleased to announce that we have partnered with Degreed to offer free data literacy training to organizations, regardless of whether they already have a DataCamp subscription or not.

In this blog post, we discuss five of the best online certifications, each of which specializes in different software.

From upskilling to portfolio curation - see how learners are utilizing DataLab

To help learners find or build a community of fellow data enthusiasts, we’re launching a new Groups experience.

Marc Wintjen, Bloomberg’s Risk Analytics Architect and author of Practical Data Analysis using Jupyter Notebooks, will join us this 5th of August to discuss how the key principles to building data literacy in your organization can empower your team.

MLOps is not just for data experts but for everyone from data teams to SMEs and to IT. Here's the rundown on why MLOps is important, what problems it aims to solve, and how in this jargon-free blog post.

A DataCamp Donates learner from Peru shares his journey developing his data analysis skills to achieve greater social welfare in his country.

From mosquitoes to machine learning and music, this week’s Employee Spotlight focuses on Maarten. A former biology researcher and data science consultant, he now works at DataCamp as a content developer.

We talked to three DataCamp instructors who recently took the Tableau Desktop Specialist Certification and asked them about how well our courses prepared them for this.

Becoming a data-driven organization can significantly help you make more effective resource allocation decisions, but this requires nurturing and fostering a company-wide data culture. Here’s a rundown of various data science practices that you can quickly adopt to start extracting value from their data, illustrated with specific use cases.