On 14 March, 2024 ,DataCamp will make some improvements to our content catalog, including renaming and updating courses and tracks.
Course Changes
Course Deprecations
| Course Title | Replacement Course(s) |
|
Manipulating Time Series Data with xts and zoo in R |
Manipulating Time Series Data in R |
|
Unit Testing for Data Science in Python |
Introduction to Testing in Python |
|
AWS Cloud Concepts |
Introduction to AWS |
| Course Title | Recommended Alternative |
|
Building Data Engineering Pipelines in Python |
Introduction to Data Pipelines |
|
User-oriented design in Power BI |
Data Visualization in Power BI |
Track Renames
Starting 14 March the following tracks will have new names. Please note that the content of these tracks remains unchanged.
| Current Track Title | New Track Title |
| Data Scientist with Python | Associate Data Scientist in Python |
| Professional Data Scientist with Python | Data Scientist in Python |
|
Data Scientist with R |
Associate Data Scientist in R |
| Professional Data Scientist with R | Data Scientist in R |
|
Data Analyst in SQL |
Associate Data Analyst in SQL |
|
Data Engineer |
Data Engineer in Python |
| Keras Toolbox | Keras Fundamentals |
Track Changes
Associate Data Scientist in Python (formerly Data Scientist with Python)
| Removed Content | Added Content |
| Intermediate Data Visualization with Seaborn | n/a |
Python Developer & Python Programming Skill Track
| Removed Content | Added Content |
| Unit Testing for Data Science in Python | Introduction to Testing in Python |
Data Scientist in Python (formerly Professional Data Scientist with Python)
| Removed Content |
| All courses and projects included in Associate Data Scientist in Python as Associate Data Scientist in Python will become the prerequisite for this track. |
Data Scientist in R (formerly Professional Data Scientist with R)
| Removed Content |
| All courses and projects included in Associate Data Scientist in R as Associate Data Scientist in R will become the prerequisite for this track. |
Next Steps for Learners and Admins
- DataCamp learners can choose to switch to the updated track. Alternatively, you can continue to make progress on the original track. Don’t worry; you will not have to repeat any chapters you’ve already completed whatever option you choose. Read the following article to learn more: How do I switch to an updated track version?
- Your custom tracks and assignments will automatically update to reflect the new content and members already enrolled in these tracks can choose to switch to the updated version. If you would like to edit your existing assignments, please read the following article to learn more: Editing and managing an assignment