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Digital Humanities: From Research to Results
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Digital Humanities: From Research to Results

Learn to combine literary research with data science in this Harvard course on digital humanities practices.

Course Cost

₹ 18,587

Intermediate

Skill Level

10 Weeks

Self-paced Video lessons

This course explores the intersection of humanities research and data science, focusing on how computational methods can enhance the study of literature, history, and philosophy. Participants will learn to use basic coding tools to analyze large digital document collections, deriving insights that were previously impossible. The curriculum covers text analysis techniques, metadata manipulation, and visualization methods, all applied to real-world humanities research questions. Students will build parts of a search engine tailored for academic research, learning fundamental text analysis skills applicable to various fields. The course emphasizes practical skills, including downloading datasets, web scraping, using APIs, and writing Python code. By the end, learners will be able to apply these digital methods to diverse materials, from 18th-century literature to contemporary speeches, journalism, and even art objects.

3.9

5,556 Enrolled

English

3.9

5,556 Enrolled

English

What you'll learn

  • Understand which digital methods are suitable for analyzing large text databases

  • Identify resources and limitations for complex digital humanities projects

  • Download datasets and create new ones using web scraping and APIs

  • Enrich metadata and tag text to optimize analysis results

  • Apply digital methods like topic modeling and vector models to analyze thousands of books

  • Write and edit Python code for text analysis and search optimization

  • Visualize results of computational analyses for humanities research

  • Interpret and contextualize findings from digital methods within humanities scholarship

Skills you'll gain

Digital Humanities
Text Analysis
Data Science
Python Programming
Metadata
Web Scraping
APIs
Visualization
Topic Modeling
Vector Models

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Module Description

This course provides a comprehensive introduction to digital humanities methods, focusing on the practical application of data science techniques to humanities research. The curriculum covers a range of topics, including text analysis, metadata manipulation, web scraping, and data visualization. Students will learn to use Python for humanities research, building skills in coding and data manipulation. The course emphasizes hands-on learning, with projects that include building parts of a search engine and analyzing large text corpora. Participants will explore advanced concepts such as topic modeling and vector models, applying these techniques to real-world humanities datasets. Throughout the course, students will learn to identify appropriate digital methods for different research questions, understand the limitations and potential of these methods, and interpret the results of computational analyses in the context of humanities scholarship.

Fee Structure

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Digital Humanities: From Research to Results

Intermediate

Skill Level

10 Weeks

Self-paced Video lessons

Course Cost

₹ 18,587

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.