On Thursday 13 March, DataCamp will make some improvements to our content catalog, including renaming and updating courses, practice pools, projects, assessments, and tracks.
Hard-archive date: Thursday 15 May.
Course Changes
Course Deprecations
Courses with Replacements
| Course Title | Replacement Course(s) |
|---|---|
| Foundations of Git | Introduction to Git; Intermediate Git |
Course Renames
| Current Course Title | New Course Title |
|---|---|
|
|
Track Changes
Career Tracks
Associate AI Engineer for Data Scientists
| Removed Content | Added Content |
|---|---|
| N/A | Working with Hugging Face |
Machine Learning Scientist in Python
| Removed Content | Added Content |
|---|---|
| Foundations of PySpark | Introduction to PySpark |
Professional Data Engineer in Python
| Removed Content | Added Content |
|---|---|
|
|
Data Engineer in Python
| Removed Content | Added Content |
|---|---|
| N/A | Introduction to APIs in Python |
Machine Learning Engineer
- Removed “Associate Data Scientist in Python” as a prerequisite track
| Removed Content | Added Content |
|---|---|
| End-to-End Machine Learning |
|
Skill Tracks
SQL Fundamentals
| Removed Content | Added Content |
|---|---|
| None | Project: Impact Analysis of GoodThought NGO Initiatives |
Developing Large Language Models
| Removed Content | Added Content |
|---|---|
|
|
Deep Learning in Python
| Removed Content | Added Content |
|---|---|
| None | Course: Transformer Models with PyTorch |
Data Manipulation in Python
| Removed Content | Added Content |
|---|---|
| None | Project: Getting a Good Night’s Sleep |
Finance Fundamentals in Python
| Removed Content | Added Content |
|---|---|
| None | Project: Analyze Your Stock Portfolio for Risks and Returns |
Time Series in Python
| Removed Content | Added Content |
|---|---|
| None | Project: Time Series Analysis for Transportation |
Natural Language Processing in Python
| Removed Content | Added Content |
|---|---|
| None | Project: Analyzing Customer Support Calls |
Image Processing in Python
| Removed Content | Added Content |
|---|---|
| None | Project: Image Processing for Object Detection Models |
Supervised Machine Learning in R
| Removed Content | Added Content |
|---|---|
| None | Project: Assessing the Effectiveness of Medical Treatments |
Machine Learning Fundamentals in R
| Removed Content | Added Content |
|---|---|
| None | Project: Predict Future Sales of Fast-Food Menu Items |
Big Data with PySpark
| Removed Content | Added Content |
|---|---|
| Foundations of PySpark | Introduction to PySpark |
KNIME Fundamentals
| Removed Content | Added Content |
|---|---|
| None | Case Study: Financial Analysis in KNIME |