https://learn.datacamp.com/career-tracks/data-scientist-with-python
- Introduction to Python
- Intermediate Python
- PROJECT. TV, Halftime Shows, and the Big Game Load, clean, and explore Super Bowl data in the age of soaring ad costs and flashy halftime shows.
- Data Manipulation with pandas
- PROJECT. The Android App Market on Google Play Load, clean, and visualize scraped Google Play Store data to understand the Android app market.
- Merging DataFrames with pandas
- PROJECT. The GitHub History of the Scala Language Find the true Scala experts by exploring its development history in Git and GitHub.
- Introduction to Data Visualization with Matplotlib
- Introduction to data visualization with seaborn
- Python Data Science Toolbox (Part 1)
- Python Data Science Toolbox (Part 2)
- Intermediate Data Visualization with Seaborn
- PROJECT. A Visual History of Nobel Prize Winners Explore a dataset from Kaggle containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
- Introduction to Importing Data in Python
- Intermediate Importing Data in Python
- Cleaning Data in Python
- Working with Dates and Times in Python
- Exploratory Data Analysis in Python
- Analyzing Police Activity with pandas
- Statistical Thinking in Python (Part 1)
- Statistical Thinking in Python (Part 2)
- PROJECT. Dr. Semmelweis and the Discovery of Handwashing Reanalyse the data behind one of the most important discoveries of modern medicine: handwashing.
- Supervised Learning with scikit-learn
- PROJECT. Predicting Credit Card Approvals Build a machine learning model to predict if a credit card application will get approved.
- Unsupervised Learning in Python
- Machine Learning with Tree-Based Models in Python
- Case Study: School Budgeting with Machine Learning in Python
- Cluster Analysis in Python