DataCamp’s New Partnership With Anaconda to Spread Data Fluency

[This article was first published on DataCamp Community - python, and kindly contributed to python-bloggers]. (You can report issue about the content on this page here)
Want to share your content on python-bloggers? click here.

DataCamp’s New Partnership With Anaconda to Spread Data Fluency

DataCamp’s New Partnership With Anaconda to Spread Data Fluency

The DataCamp community is growing. We are thrilled to announce our partnership with the popular open-source, cross-platform tool Anaconda to empower everyone with the confidence to code and become more data fluent. Join our webinar on July 9 at 12 PM EDT to learn how to get started with Anaconda.

Anaconda is proud to partner with DataCamp, a leader in online courses for data scientists. With a wide variety of courses from beginner to intermediate, DataCamp is a great resource for Python and R users.—Angela Pierce, President and CFO at Anaconda

DataCamp + Anaconda Team Edition

Through Anaconda Team Edition, members have access to more than 7,500 powerful open-source packages for data science and machine learning, alongside tools to ensure data science teams can use it securely. Anaconda’s mirrored repository is easily installed inside your firewall in front of your database management system.

Now, Anaconda Team Edition members will also have access to DataCamp’s expert data science training, including Conda Essentials and Building and Distributing Packages with Conda via our Anaconda Skills track.

Get started with DataCamp + Anaconda Team Edition

Sign up for our webinar on Getting started with Anaconda on July 9 at 12 PM EDT. Even if you can’t attend live, we encourage you to sign up so you’ll receive a link to the recording.

For more information, read our press release on the Anaconda partnership and watch our presentation on building data fluency in an organization at AnacondaCON 2020. If you’re an analytics professional, you can explore our courses developed in partnership with Anaconda.

To leave a comment for the author, please follow the link and comment on their blog: DataCamp Community - python.

Want to share your content on python-bloggers? click here.