On June 13 2024, DataCamp will make some improvements to our content catalog, including renaming, updating, and archiving courses, projects, and tracks.
Course Changes
Renamed Courses
| Old Course Title | New Course Title |
| Introduction to Data Pipelines in Python | ETL and ELT in Python |
| Python Data Science Toolbox (Part 1) | Introduction to Functions in Python |
| Python Data Science Toolbox (Part 2) | Python Toolbox |
| Data Types for Data Science in Python | Data Types in Python |
| Machine Learning Monitoring Concepts | Monitoring Machine Learning Concepts |
| Introduction to Databricks | Databricks Concepts |
| Introduction to Data Warehousing | Data Warehousing Concepts |
| Introduction to Programming Paradigms | Programming Paradigm Concepts |
| Introduction to DevOps | DevOps Concepts |
Track Changes
Track Renames
| Old Track Title | New Track Title |
| Python Fundamentals | Python Data Fundamentals |
| R Programming | R Programming Fundamentals |
| Python Toolbox | Python Programming Toolbox |
Skill Track Changes
Python Programming
| Current Track | New Track |
| Writing Efficient Python Code | Writing Functions in Python |
| Writing Efficient Code with pandas | Writing Efficient Python Code |
| Writing Functions in Python | Software Engineering Principles in Python |
| Software Engineering Principles in Python | Introduction to Testing in Python |
| Object-Oriented Programming in Python | Introduction to Object-Oriented Programming in Python |
Python Programming Toolbox Track
| Current Track | New Track |
| Dealing with Missing Data in Python | Working with Dates and Times in Python |
| Working with Dates and Times in Python | Regular Expressions in Python |
| Regular Expressions in Python | Data Structures and Algorithms in Python |
| Writing Efficient Python Code | Project: Interstellar Delivery: Mastering Datetime in Python |
OpenAI Fundamentals
| Removed Content | Added Content |
| Tutorial: OpenAI Function Calling Tutorial | Developing AI Systems with the OpenAI API |
Developing AI Applications
| Removed Content | Added Content |
| - | Developing AI Systems with the OpenAI API |
Machine Learning Fundamentals with Python
| Removed Content | Added Content |
| Linear Classifiers in Python | Reinforcement Learning with Gymnasium in Python |
| Project: Taxi Route Optimization with Reinforcement Learning |
Career Track Changes
Python Developer
| Current Track | New Track |
| Introduction to Python | Introduction to Testing in Python |
| Intermediate Python | Writing Efficient Python Code |
| Project: Investigating Netflix Movies | Introduction to Git |
| Data Manipulation with pandas | Developing Python Packages |
| Project: Exploring NYC Public School Test Result Scores | Web Scraping in Python |
| Python Data Science Toolbox (Part 1) | Project: Building a Calorie Intake Calculator |
| Python Data Science Toolbox (Part 2) | Data Structures and Algorithms in Python |
| Data Types for Data Science in Python | |
| Writing Efficient Python Code | |
| Working with Dates and Times in Python | |
| Regular Expressions in Python | |
| Web Scraping in Python | |
| Writing Functions in Python | |
| Data Structures and Algorithms in Python | |
| Introduction to Shell | |
| Introduction to Git | |
| Software Engineering Principles in Python | |
| Developing Python Packages | |
| Introduction to Testing in Python | |
| Object-Oriented Programming in Python |
Associate Data Scientist in Python
| Removed Content | Added Content |
| - | Experimental Design in Python |
Project Changes
Archived Projects
| Project Title | Recommended Alternative |
| Phyllotaxis: Draw Flowers Using Mathematics | Creating Floral Patterns Inspired by Phyllotaxis |
| A New Era of Data Analysis in Baseball | Compare Baseball Player Statistics using Visualizations |
| Generating Keywords for Google Ads | Generating Keywords for Search Campaigns |
| What Your Heart Rate Is Telling You | What is Your Heart Rate Telling You? |
| Kidney Stones and Simpson’s Paradox | Assessing the Effectiveness of Medical Treatments |
| ASL Recognition with Deep Learning | Building an E-Commerce Clothing Classifier Model with Keras |
| Risk and Returns: The Sharpe Ratio | Analyze your Stock Portfolio for Risks and Returns |
| Wrangling and Visualizing Musical Data | Visualizing the History of Nobel Prize Winners |
| Exploring the Bitcoin Cryptocurrency Market | Cleaning Bank Marketing Campaign Data |
| Name Game: Gender Prediction using Sound | Visualizing the History of Nobel Prize Winners |
| The Hottest Topics in Machine Learning | Word Frequency in Moby Dick |
| The GitHub History of the Scala Language | Inspecting Electric Vehicle Charging Trends |
| Scout your Athletics Fantasy Team | Exploring Airbnb Market Trends |
| Who Is Drunk and When in Ames, Iowa? (Guided) | Visualizing the History of Nobel Prize Winners |
| Naïve Bees: Image Loading and Processing | Image Processing for Object Detection Models |
| Naïve Bees: Predict Species from Images | Facial Recognition with Supervised Learning |
| Naïve Bees: Deep Learning with Images | Detect Traffic Signs with Deep Learning |
| Explore 538's Halloween Candy Rankings | Assessing the Effectiveness of Medical Treatments |
| Reducing Traffic Mortality in the USA (Guided) | Clustering Antarctic Penguin Species |
| Who's Tweeting? Trump or Trudeau? | Word Frequency in Moby Dick |
| Who Is Drunk and When in Ames, Iowa? (Guided) | Exploring NYC Public School Test Result Scores |
| Drunken Datetimes in Ames, Iowa | Deciphering Customer Buying Cycles in Grocery Stores |
| Gender Bias in Graduate Admissions | Assessing the Effectiveness of Medical Treatments |
| Degrees That Pay You Back | Basketball Analytics: Clustering Players by Performance Metrics |
| Book Recommendations from Charles Darwin | Word Frequency in Moby Dick |
| Extract Stock Sentiment from News Headlines | Word Frequency in Moby Dick |
| Data Science for Social Good: Crime Study | Dr. Semmelweis and the Importance of Handwashing |
| Are You Ready for the Zombie Apocalypse? | Assessing the Effectiveness of Medical Treatments |
| What Makes a Pokémon Legendary? | Predicting Movie Rental Durations |
| Importing and Cleaning Data | Exploring Airbnb Market Trends |
| Exploring the Kaggle Data Science Survey | Visualizing the History of Nobel Prize Winners |
| Exploring the Evolution of Linux | - |
| Partnering to Protect You from Peril | - |
| Where Would You Open a Chipotle? | - |
| Do Left-handed People Really Die Young? | - |
| Clustering Heart Disease Patient Data | - |
| Give Life: Predict Blood Donations | - |
| The Impact of Climate Change on Birds | - |
| Health Survey Data Analysis of BMI | - |
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.