Historical Data Analysis with Python: Investigating the Last Tsar

Are you fascinated by history but want to move beyond simple narratives? This course bridges historical investigation and modern data science, offering a unique approach to understanding the past. By the end of this course, you will be able to structure historical information, clean primary source texts, and apply Python programming to perform basic data analysis, transforming raw documents into meaningful historical insights. What you'll learn: * Understand foundational concepts of historical source criticism and data integrity. * Practice cleaning and processing raw text data from diary entries and official documents using Python string manipulation. * Apply basic cryptographic principles to decode historical ciphers and encrypted messages. * Learn to write Python scripts for frequency analysis and temporal pattern detection in large text corpora. * Configure a clean Python virtual environment for reliable historical data projects. We begin by establishing the historical context and source types, followed by an introduction to necessary Python tools. The core of the course focuses on practical exercises in text processing, analysis, and data interpretation, using the era of the last Russian Emperor as our primary case study. This course is designed for absolute beginners in both programming and historical data analysis. No prior programming experience or specialized historical knowledge is required. Start applying data science techniques to history today.