On June 13, DataCamp will make some improvements to our content catalog, including renaming and updating several courses in our career and skill tracks to better align with our certifications.
Renamed Courses
Starting June 13, the following courses will have new names. Please note that the content of these courses is otherwise unchanged.
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Current Course Title |
New Course Title |
|
Machine Learning with scikit-learn |
Supervised Learning with scikit-learn |
|
A/B Testing in R |
Introduction to A/B Testing in R |
|
Experimental Design in Python |
Performing Experiments in Python |
Renamed Tracks
Starting June 13, the following track will have a new name. Please note that the content of this track is otherwise unchanged.
|
Current Track Title |
New Track Title |
|
Data Analyst with SQL Server |
SQL Server Developer |
Skill Track Changes
On June 13, we made some improvements to our structured skill tracks, including removing some courses and adding new ones in their place. Please note that any courses removed from the skill tracks are still available as stand-alone courses on DataCamp.
Machine Learning Fundamentals with Python
| Removed Courses | Added Courses |
|
Machine Learning with scikit-learn |
Supervised Learning with scikit-learn |
|
Case Study: School Budgeting with Machine Learning in Python |
Statistics Fundamentals with Python
|
Removed Courses |
Added Courses |
|
Statistical Thinking in Python (Part 1) |
Introduction to Statistics in Python |
|
Statistical Thinking in Python (Part 2) |
Introduction to Regression with statsmodels in Python |
|
Introduction to Linear Modeling in Python |
Intermediate Regression with statsmodels in Python |
|
Statistical Simulation in Python |
Sampling in Python |
|
Case Studies in Statistical Thinking |
Hypothesis Testing in Python |
Interactive Data Visualization in R
| Removed Courses | Added Courses |
| Interactive Data Visualization with rbokeh | n/a |
Python Toolbox
| Removed Courses | Added Courses |
| Practicing Coding Interview Questions in Python | n/a |
Career Track Changes
On June 13, we made some improvements to our structured career tracks, including removing some courses and adding new ones in their place. Please note that any courses removed from the career tracks are still available as stand-alone courses on DataCamp.
Python Programmer
- 'Data Types for Data Science in Python' has been moved to later in the track.
Data Analyst with Python
| Removed Courses | Added Courses |
|
Introduction to Data Visualization with Matplotlib |
Introduction to Statistics in Python |
|
Introduction to Importing Data in Python |
Hypothesis Testing in Python |
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Intermediate Importing Data in Python |
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|
Cleaning Data in Python |
|
|
Analyzing Police Activity with pandas |
|
|
Working with Categorical Data in Python |
|
|
Introduction to SQL |
|
|
Streamlined Data Ingestion in pandas |
|
|
Introduction to Relational Databases in SQL |
|
|
Joining Data in SQL |
|
|
Introduction to Databases in Python |
Data Analyst with R
| Removed Courses | Added Courses |
|
Intermediate R |
Hypothesis Testing in R |
|
Reporting with R Markdown |
|
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Data Manipulation with data.table in R |
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|
Joining Data with data.table in R |
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Introduction to Importing Data in R |
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Intermediate Importing Data in R |
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Cleaning Data in R |
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Case Study: Exploratory Data Analysis in R |
|
|
Categorical Data in the Tidyverse |
|
|
Introduction to SQL |
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|
Introduction to Relational Databases in SQL |
|
|
Joining Data in SQL |
Statistician with R
| Removed Courses | Added Courses |
|
Generalized Linear Models in R |
n/a |
|
Modeling with Data in the Tidyverse |
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A/B Testing in R |
|
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Dealing With Missing Data in R |
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Handling Missing Data with Imputations in R |
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Survey and Measurement Development in R |
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Mixture Models in R |
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Bayesian Regression Modeling with rstanarm |
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Bayesian Modeling with RJAGS |
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Structural Equation Modeling with lavaan in R |
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Inference for Categorical Data in R |
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Inference for Numerical Data in R |
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Inference for Linear Regression in R |
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Data Privacy and Anonymization in R |
Data Scientist with Python
- The 'Android App Market on Google Play' project has been moved to later in the track.
| Removed Courses | Added Courses |
|
Machine Learning with scikit-learn |
Supervised Learning with scikit-learn |
|
Statistical Thinking in Python (Part 1) |
Introduction to NumPy |
|
Statistical Thinking in Python (Part 2) |
Introduction to Statistics in Python |
|
Case Study: School Budgeting with Machine Learning in Python |
Introduction to Regression with statsmodels in Python |
|
Sampling in Python |
|
|
Hypothesis Testing in Python |
Machine Learning Scientist with Python
| Removed Courses | Added Courses |
| Machine Learning with scikit-learn | Supervised Learning with scikit-learn |
Machine Learning Scientist with R
| Removed Courses | Added Courses |
| Topic Modeling in R | n/a |
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