Data Cleaning
- Cleaning data with OpenRefine (Programming Historian tutorial)
- Cleaning text using regular expressions (Programming Historian tutorial)
- Excel Pivot Tables (Lynda tutorial)
- Extracting data from markup languages (Programming Historian tutorial)
- Getting structured data from a scanned text (Programming Historian tutorial)
- Introduction to Google Fusion Tables (Miriam Posner tutorial)
- Introduction to Markdown (Programming Historian tutorial)
- Introduction to Markdown and Pandoc for converting plain text to other file types (Programming Historian tutorial)
- Introduction to OpenRefine (Miriam Posner tutorial)
- Normalizing Textual Data in Python (Programming Historian tutorial)
- Transforming data with XML and XSL (Programming Historian tutorial)
Data Analysis & Visualization
- Excel Pivot Tables (Lynda tutorial)
- Introduction to Google Fusion Tables (Miriam Posner tutorial)
- Introduction to Palladio (Miriam Posner tutorial)
- Introduction to Python (Programming Historian tutorial)
- Introduction to R (Lynda tutorial)
- Introduction to Tableau (Lynda tutorial)
- Transforming data with XML and XSL (Programming Historian tutorial)
- Using Genderizer to derive gender from first names (Miriam Posner tutorial)
- Using R to analyze tabular data (Programming Historian tutorial)
- Using R to analyze text (Programming Historian tutorial)
- Working with HTML in Python (Programming Historian tutorial)
Textual Data
- Cleaning text using regular expressions (Programming Historian tutorial)
- Creating a keyword gazetteer from textual data (Programming Historian tutorial)
- Creating Twitterbots using Tracery (Programming Historian tutorial)
- Getting structured data from a scanned text (Programming Historian tutorial)
- Introduction to Markdown (Programming Historian tutorial)
- Introduction to Markdown and Pandoc for converting plain text to other file types (Programming Historian tutorial)
- Introduction to Stanford’s NER (History in the City tutorial)
- Introduction to TEI markup (TEI tutorial)
- N-grams and text analysis (Programming Historian tutorial)
- Normalizing Textual Data in Python (Programming Historian tutorial)
- TEI Primer (Northeastern University tutorial)
- Text analysis in Python (Programming Historian tutorial)
- Topic modeling and MALLET (Programming Historian tutorial)
- Using Genderizer to derive gender from first names (Miriam Posner tutorial)
- Using R to analyze tabular data (Programming Historian tutorial)
- Using R to analyze text (Programming Historian tutorial)
- Working with HTML in Python (Programming Historian tutorial)
Network Analysis
- Cytoscape introduction (Miriam Posner tutorial)
- Analyzing complex networks with Neo4j (Programming Historian tutorial)
- Exploring networks in Python (Programming Historian tutorial)
- Introduction to Gephi (History Blogger tutorial)
- Introduction to Gephi (Miriam Posner tutorial)
- Introduction to Palladio (Miriam Posner tutorial)
