Data School Courses

Version control with Git and GitHub

Syllabus: What is the difference between Git and GitHub?. Setting up Git and GitHub. Navigating a GitHub Repository - Part 1. Navigating a GitHub Repository - Part 2. Forking a GitHub Repository. Creating a New GitHub Repository. Copying a GitHub Reposit…

• YouTube
• Less than 1 hour of material
• Self paced
• Free Online Course

Machine Learning

Syllabus: Making sense of the confusion matrix. ROC Curves and Area Under the Curve (AUC) Explained. Allstate Purchase Prediction Challenge on Kaggle. Getting started with machine learning in Python (webcast). Q&A about Machine Learning with Text (online…

• YouTube
• 4-5 hours worth of material
• Self paced
• Free Online Course

Data manipulation in R with dplyr

Syllabus: Hands-on dplyr tutorial for faster data manipulation in R. Going deeper with dplyr: New features in 0.3 and 0.4 (tutorial).

• YouTube
• 1-2 hours worth of material
• Self paced
• Free Online Course

Machine learning in Python with scikit-learn

Syllabus: What is machine learning, and how does it work?. Setting up Python for machine learning: scikit-learn and Jupyter Notebook. Getting started in scikit-learn with the famous iris dataset. Training a machine learning model with scikit-learn. Compa…

• YouTube
• 7 hours worth of material
• Self paced
• Free Online Course

Data analysis in Python with pandas

Syllabus: What is pandas? (Introduction to the Q&A series). How do I read a tabular data file into pandas?. How do I select a pandas Series from a DataFrame?. Why do some pandas commands end with parentheses (and others don't)?. How do I rename columns i…

• YouTube
• 12 hours worth of material
• Self paced
• Free Online Course

Web scraping in Python with Beautiful Soup and requests

Syllabus: Web scraping in Python (Part 1): Getting started. Web scraping in Python (Part 2): Parsing HTML with Beautiful Soup. Web scraping in Python (Part 3): Building a dataset. Web scraping in Python (Part 4): Exporting a CSV with pandas.

• YouTube
• Less than 1 hour of material
• Self paced
• Free Online Course

Best practices with pandas

Syllabus: pandas best practices (1/10): Introducing the dataset. pandas best practices (2/10): Removing columns. pandas best practices (3/10): Comparing groups. pandas best practices (4/10): Examining relationships. pandas best practices (5/10): Handling…

• YouTube
• 1-2 hours worth of material
• Self paced
• Free Online Course