On December 14, DataCamp will make some improvements to our content catalog, including renaming and updating courses, projects, assessments, and tracks.
Course Changes
Course Deprecations
| Course Title | Recommended Alternative |
| Parallel Computing in R | Parallel Programming in R |
| Introduction to Feature Engineering in R | Feature Engineering in R |
| Advanced Dimensionality Reduction in R | Dimensionality Reduction in R |
| Artificial Intelligence (AI) Concepts in Python | Understanding Artificial Intelligence |
| Exploring and Analyzing Data in Python | Exploratory Data Analysis in Python |
| Creating R Packages | Developing R Packages |
| Introduction to A/B Testing in R | A/B Testing in R |
| Creating Dashboards with shinydashboard | Building Dashboards with shinydashboard |
| Spreadsheets Foundations | Introduction to Spreadsheets |
| Analyzing Data in Spreadsheets | Data Analysis in Spreadsheets |
| Intermediate SQL Queries | Introduction to SQL & Intermediate SQL |
| SQL for Joining Data | Joining Data in SQL |
| Deep Learning with PyTorch | Introduction to Deep Learning with PyTorch & Intermediate Deep Learning with PyTorch |
| Machine Learning with scikit-learn | Supervised Learning with scikit-learn |
|
Introduction to Version Control with Git |
Introduction to Git |
| ETL in Python | Introduction to Data Pipelines |
Renamed Courses
Starting December 14, the following courses will have new names. Please note that the content of these courses is otherwise unchanged.
| Current Course Title | New Course Title |
| Recurrent Neural Networks (RNN) for Language Modeling in Python | Recurrent Neural Networks (RNNs) for Language Modeling with Keras |
| Image Processing with Keras in Python | Image Modeling with Keras |
Project Changes
Project Deprecations
| Project Title | Recommended Alternative |
| Parallel Computing in R | Parallel Programming in R |
| Introduction to Feature Engineering in R | Feature Engineering in R |
| Advanced Dimensionality Reduction in R | Dimensionality Reduction in R |
| Artificial Intelligence (AI) Concepts in Python | Understanding Artificial Intelligence |
| Exploring and Analyzing Data in Python | Exploratory Data Analysis in Python |
| Creating R Packages | Developing R Packages |
| Predicting Credit Card Approvals (Python) | Predicting Credit Card Approvals (Python) |
| Analyze International Debt Statistics (SQL) | Analyze International Debt Statistics (SQL) |
| Streamlining Employee Data (Python) | Consolidating Employee Data (Python) |
| NYC Airbnb Data Analysis (Python) | Exploring Airbnb Market Trends (Python) |
| NYC Airbnb Data Analysis (R) | Exploring Airbnb Market Trends (R) |
| Investigating Netflix Movies and Guest Stars in The Office (Guided) (Python) | Investigating Netflix Movies (Python) |
| Investigating Netflix Movies and Guest Stars in The Office (Unguided) (Python) | Investigating Netflix Movies (Python) |
| Analyzing NYC Public School Test Result Scores (SQL) | Exploring NYC Public School Test Result Scores (SQL) |
| Optimizing Online Sports Revenue (SQL) | Analyzing Online Sports Revenue (SQL) |
| Word Frequency in Classical Novels (Python) | Word Frequency in Moby Dick (Python) |
| Classify Suspected Infection in Patients (R) | No alternative |
| Bad Passwords and the NIST Guidelines (R) | Exploring Airbnb Market Trends (R) |
| Bad Passwords and the NIST Guidelines (Unguided) (Python) | Exploring Airbnb Market Trends (Python) |
| Bad Passwords and the NIST Guidelines (Guided) (Python) | Exploring Airbnb Market Trends (Python) |
| Where Are the Fishes? (R) | No alternative |
| Reducing Traffic Mortality in the USA (R) | Modeling Car Insurance Claim Outcomes |
| Text Mining America's Toughest Game Show (R) | No alternative |
| Planning Public Policy in Argentina (R) | No alternative |
| Trends in Maryland Crime Rates (R) | Modeling Car Insurance Claim Outcomes |
| Going Down to South Park: A Text Analysis (R) | No alternative |
| Comparing Search Interest with Google Trends (Unguided) (Python) | No alternative |
Renamed Projects
Starting December 14, the following projects will have new names. Please note that the content of these projects is otherwise unchanged.
| Current Project Title | New Project Title |
| Designing a Bank Marketing Database | Cleaning Bank Marketing Campaign Data |
| Interpreting Unsupervised Learning Models | Clustering Antarctic Penguin Species |
Assessment Changes
Assessment Deprecations
| Assessment Title | Recommended Alternative |
| Understanding and Interpreting Data | Analytic Fundamentals/Data Visualization Theory/Data Storytelling/AI Fundamentals |
Track Changes
Track Deprecations
| Track Title | Recommended Alternative |
| Unsupervised Machine Learning with R | Machine Learning Scientist with R |
Renamed Tracks
Starting December 14, the following tracks will have new names. Please note that the content of these tracks is otherwise unchanged.
| Current Track Title | New Track Title |
| Deep Learning in Python | Keras Toolbox |
| Python Programmer | Python Developer |
| R Programmer | R Developer |
Course Changes within Tracks
R Programmer
| Removed Content | Added Content |
| Dr. Semmelweis and the Discovery of Handwashing | Dr. Semmelweis and the Importance of Handwashing |
| Clustering Bustabit Gambling Behavior | Developing R Packages |
| Creating R Packages |
SQL Fundamentals
| Removed Content | Added Content |
| n/a | Analyzing Students' Mental Health in SQL |
| Analyzing Industry Carbon Emissions | |
| Database Design |
Natural Language Processing in Python
| Removed Content | Added Content |
| Building Chatbots in Python | Natural Language Processing with spaCy |
| Advanced NLP with spaCy |
Shiny Fundamentals with R
| Removed Content | Added Content |
| Creating Dashboards with shinydashboard | Building Dashboards with shinydashboard |
Machine Learning Scientist with Python
| Removed Content | Added Content |
| Introduction to TensorFlow in Python | Predictive Modeling for Agriculture |
| Introduction to Deep Learning in Python | Interpreting Unsupervised Learning Models |
| Introduction to Deep Learning with Keras | Predicting Movie Rental Durations |
| Advanced Deep Learning with Keras | Natural Language Processing with spaCy |
| Image Modeling with Keras | Introduction to Deep Learning with PyTorch |
| Intermediate Deep Learning with PyTorch |
Machine Learning Fundamentals with Python
| Removed Content | Added Content |
| Introduction to Deep Learning in Python | Predictive Modeling for Agriculture |
| Interpreting Unsupervised Learning Models | |
| Introduction to Deep Learning with PyTorch |
Keras Toolbox (formerly Deep Learning in Python)
| Removed Content | Added Content |
| Introduction to Deep Learning in Python | Image Modeling with Keras |
| Introduction to TensorFlow in Python | Machine Translation with Keras |
| Recurrent Neural Networks (RNNs) for Language Modeling with Keras |
Finance Fundamentals in R
| Removed Content | Added Content |
| Manipulating Time Series Data with xts and zoo in R | Manipulating Time Series Data in R |
Time Series with R
| Removed Content | Added Content |
| Manipulating Time Series Data with xts and zoo in R | Manipulating Time Series Data in R |
Quantitative Analyst with R
| Removed Content | Added Content |
| Manipulating Time Series Data with xts and zoo in R | Manipulating Time Series Data in R |
Data Scientist Professional with R
| Removed Content | Added Content |
| n/a | Dr. Semmelweis and the Importance of Handwashing |
| Exploring Airbnb Market Trends | |
| Modeling Car Insurance Outcomes | |
| Hypothesis Testing with Men’s and Women’s Soccer Matches | |
| Developing R Packages | |
| Feature Engineering in R | |
| Analyzing Students' Mental Health in SQL | |
| Analyzing Industry Carbon Emissions |
Project-Only Changes within Tracks
Python Fundamentals
| Removed Content | Added Content |
| n/a | Investigating Netflix Movies |
Data Scientist with Python
| Removed Content | Added Content |
| A Visual History of Nobel Prize Winners | Exploring NYC Public School Test Result Scores |
| Hypothesis Testing in Healthcare | Visualizing the History of Nobel Prize Winners |
| Analyzing Crime in Los Angeles | |
| Customer Analytics: Preparing Data for Modeling | |
| Exploring Airbnb Market Trends | |
| Modeling Car Insurance Outcomes | |
| Hypothesis Testing with Men's and Women's Soccer Matches | |
| Clustering Antarctic Penguin Species | |
| Predicting Movie Rental Durations |
Data Scientist Professional with Python
| Removed Content | Added Content |
| A Visual History of Nobel Prize Winners | Exploring NYC Public School Test Result Scores |
| Hypothesis Testing in Healthcare | Visualizing the History of Nobel Prize Winners |
| Analyzing Crime in Los Angeles | |
| Customer Analytics: Preparing Data for Modeling | |
| Exploring Airbnb Market Trends | |
| Modeling Car Insurance Outcomes | |
| Hypothesis Testing with Men's and Women's Soccer Matches | |
| Clustering Antarctic Penguin Species | |
| Predicting Movie Rental Durations | |
| Analyzing Students' Mental Health in SQL | |
| Analyzing Industry Carbon Emissions |
Data Scientist with R
| Removed Content | Added Content |
| n/a | Dr. Semmelweis and the Importance of Handwashing |
| Exploring Airbnb Market Trends | |
| Modeling Car Insurance Outcomes | |
| Hypothesis Testing with Men’s and Women’s Soccer Matches |
Data Analyst in SQL
| Removed Content | Added Content |
| When Was the Golden Age of Video Games? | Analyzing Students' Mental Health in SQL |
| Analyzing Industry Carbon Emissions | |
| Analyzing Motorcycle Part Sales |
Data Analyst with Python
| Removed Content | Added Content |
| n/a | Investigating Netflix Movies |
| Exploring NYC Public School Test Result Scores | |
| Visualizing the History of Nobel Prize Winners | |
| Analyzing Crime in Los Angeles | |
| Hypothesis Testing with Men's and Women's Soccer Matches |
Data Analyst with R
| Removed Content | Added Content |
| n/a | Dr. Semmelweis and the Importance of Handwashing |
| Hypothesis Testing with Men’s and Women’s Soccer Matches |
Python Programmer
| Removed Content | Added Content |
| n/a | Investigating Netflix Movies |
| Exploring NYC Public School Test Result Scores |
Tidyverse Fundamentals with R
| Removed Content | Added Content |
| Dr. Semmelweis and the Discovery of Handwashing | Dr. Semmelweis and the Importance of Handwashing |
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