Before you begin creating Practice content at DataCamp, we'd like to take the time to introduce you to our process to ensure that your DataCamp experience and your content are as successful and enjoyable as possible.

In this article, you'll learn about:

  • Who you will be working with
  • What the process entails
  • How to do it (i.e., our authoring tool)
  • How to design great content (i.e., our content guidelines)

Who will I be working with?

During the entire process, our Data Science Online Learning Content Creators are supported by a Curriculum Lead (CL) at DataCamp who will work with the instructor from practice outline through launch to maintenance.

The dedicated CL ensures that the Content Creators have all the information they need to create great Practice content, that the quality of the content meets DataCamp's standards and that the Content Creators stay on track to meet their committed deadlines.

The Practice content creation process

The Practice content creation process at DataCamp consists of 5 steps:

1. On-boarding

Once you signed your contract with DataCamp, you enter the on-boarding experience. This crucial step ensures that you are in the perfect position to get started creating your Practice content.

Your on-boarding experience starts with the first email your receive from your CL, pointing you to this article. It further includes:

  • reading through this article and all referenced support articles,
  • setting up your accounts,
  • completing the on-boarding tasks in your Asana project (more information about Asana here), and
  • a kick-off call with your CL to test your understanding of the process and tackle outstanding questions.

2. Creating Practice content

After the kick-off call with your CL, you're ready to start creating Practice content. You will do so by iterating over a micro-process for each chapter of the course you are creating Practice content for:

  • take the course & create a Chapter outline, which summarizes the learning objectives of each lesson,
  • create a Practice outline, the skeleton of your work, and
  • create exercises in the Teach editor (more information about the Teach editor here), taking the content guidelines and style guidelines into account.

After each iteration, your CL will review your work to ensure that the content you create adheres to the DataCamp guidelines. This is important for us as we aim to offer a consistent high quality learning experience to our students throughout the entire DataCamp platform.

When reviewing your work, your CL will use the quality rubric that you will find in the README file of your Practice pool's GitHub repository. Taking this rubric into account when creating Practice content will help you create better content, and will ensure you don't encounter big surprises when the CL's review comes in.

3. Testing & soft launch

After the content for each chapter is created and reviewed, you're ready to test your content on desktop and in the mobile app. Testing your content before it goes live ensures that it is optimized for a pleasant learning experience.

When your content passes all tests, it is ready for soft launch! This means your content will go live, and DataCamp students can start practicing. However, at this moment, DataCamp will not yet announce your content in the weekly content newsletter. This allows your CL to gather feedback from the early students, based on which you can improve your content. Read more about this process in the next paragraph. 

4. Maintenance & hard launch

In the first weeks following the soft launch of your content, your CL will collect data on its performance. More specifically, your CL will look at the feedback the early students submit (maybe they don't understand a question), the cancellation rate of each exercise. The cancellation rate tells you how frequent does a student stop practicing when they see that exercise, a very good proxy for the quality of your content.

Once all your exercises meet DataCamp's quality standards – expressed as number of feedback messages and median and maximum cancellation rate, your content is ready for hard launch. Now, DataCamp will announce your content in the weekly content newsletter, leading to many more students taking your Practice exercises.

This is where your job ends; at least, for the course you were working on.

5. Creating more Practice content

We want you to create more content with us! The Practice content creation process tends to be much shorter and more efficient as repeat content creators understand all of the tools and processes. 

Before committing to create more content, it is important to make sure that your first content is as high-quality as possible and that you have the time available to work on more content. DataCamp has the following minimum requirements to ensure that both criteria are met:

  • Cancellation rate: Your first content has a median cancellation rate less than 1.5%. This shows us that you understand our guidelines and what it takes to create Practice content.
  • Timeline: Your first content launched within the timeline you agreed to with your CL. This shows us that you understand the time commitment required to create content and respect the importance of meeting deadlines. 

If the above requirements are met, your CL will reach out to you about possibilities to create more Practice content.

How to create Practice at DataCamp

DataCamp has developed its proprietary Teach Editor where all Courses and Practice exercises are created. The Teach Editor provides a user-friendly user interface for the raw markdown that is at the basis of each Course and Practice Mode.

Curious about our Teach Editor? Feel free to take a look at https://www.datacamp.com/teach!

How to design great content

At DataCamp, we have a good view which exercises work for our students and which don't. To ensure our student have a consistent and enjoyable learning experience during their time on the DataCamp platform, we have consisted a set of content and style guidelines. 

DataCamp's Practice content and style guidelines are well documented, and serve as a basis to review all Practice content created on the DataCamp platform.

Curious about our guidelines? Take a look at the respective articles: Practice content guidelines and Practice style guidelines.

Get onboard!

Did this article spark your interest to create Practice content for DataCamp? Don't hesitate and take a look at our job post for Data Science Online Learning Content Creator:

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