layout: course title: Li11 Historical Linguistics description: This course is about historical linguistics. year: 2024 location: tbc time: Mondays 10-11 AM course_id: li11-histling schedule:

• week: 1 date: Feb 5 topic: Introduction to Data Science description: Overview of the data science workflow and key concepts. materials:
  • name: Syllabus url: /assets/pdf/example_pdf.pdf
  • name: Slides url: /assets/pdf/example_pdf.pdf

Course Overview

This course provides a comprehensive introduction to data science principles and practices. Students will:

• Learn the end-to-end data science workflow
• Gain practical experience with data manipulation tools
• Develop skills in data visualization and communication
• Apply statistical methods to derive insights from data

Prerequisites

• Basic programming knowledge (preferably in Python)
• Introductory statistics
• Comfort with basic algebra

Textbooks

• “Python for Data Analysis” by Wes McKinney
• “Data Science from Scratch” by Joel Grus

Grading

• Assignments: 50%
• Project: 40%
• Participation: 10%