Text Analysis Courses and Certifications

Machine Learning: Real-World Applications

Apply machine learning to real tasks: classify images with CNNs and transfer learning, score sentiment with bag-of-words and attention, and recommend items via collaborative filtering and SVD.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

James Briggs

Sentiment Analysis on Any Length of Text With Transformers - Python

Learn to apply transformer-based sentiment analysis to texts longer than BERT’s token limit by splitting and recombining tokenized chunks.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Venelin Valkov

Testing Microsoft Phi-4 Model for Text Processing and Data Analysis

Explore Microsoft's Phi-4 language model through hands-on testing of summarization, data labeling, and text extraction capabilities using Ollama, with practical demonstrations and performance comparisons.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Analyze Taylor Swift Lyrics with Python Case Study

110 ratings at Codecademy

Use Python, NLP, and sentiment analysis to uncover themes about time, day, and night across Taylor Swift’s lyrics, with visualizations.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available

Basics of Data Science

"Basics of Data Science" gives a comprehensible overview of many fundamental concepts and tools of data science, including data quality and data preprocessing, supervised and unsupervised learning tec

• edX
• 9 weeks, 5-11 hours a week
• Self-Paced
• Free Online Course (Audit)

Digital Humanities: Theory and Practice

Explores how computational methods reshape humanities research through digital text analysis, network analysis, web data extraction, geospatial mapping, and immersive technologies.

• Swayam
• Available until Oct 12, 2026
• Free Online Course

Computation for Social Sciences: Wolfram U Class

Wolfram Language applied to social science questions: word frequencies across Sherlock Holmes books, mapping Rome's decline, social network graphs, and political sentiment drawn from tweets.

• Wolfram U
• 23 minutes
• Self-Paced
• Free Online Course

Alex the Analyst

Regular Expression Character Classes in Python - Working with Pattern Matching

Master character classes in regular expressions to enhance pattern matching capabilities in Python programming.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Conf42

Topic Modelling for Text Documents Using NLP Techniques

Explore NLP techniques for topic modeling in text documents, covering entity identification, document similarity, data cleaning, and clustering methods.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Khan Academy

4th Grade English Language Arts

Discover engaging Common Core-aligned reading skills through interactive lessons on comparing texts, analyzing themes, and supporting main ideas with key details.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Explore insights in text analysis using Azure Text Analytics

Extract sentiment, key phrases, and entities from product reviews with Azure Text Analytics, then organize the results and generate a report to explore insights.

• Coursera
• 1 hour 35 minutes
• No Longer Offered
• Paid Course

Quantitative Text Analysis and Textual Similarity in R

Measure how alike documents are in R: convert a text data set into a corpus and document feature matrix, compute cosine similarity, and plot results.

• Coursera
• 1 hour 22 minutes
• No Longer Offered
• Paid Course

Quantitative Text Analysis and Scaling in R

Learn document scaling in R: load and pre-process text into a corpus and document feature matrix, run an unsupervised scaling model, and plot the outcome.

• Coursera
• 1 hour 21 minutes
• No Longer Offered
• Paid Course

Quantitative Text Analysis and Evaluating Lexical Style in R

Evaluate lexical style in R: convert text documents into a corpus and document feature matrix, compute type-token ratios, and visualize term frequency variation over time.

• Coursera
• 1 hour 20 minutes
• No Longer Offered
• Paid Course

Quantitative Text Analysis and Measures of Readability in R

Load textual data into R as a corpus object, estimate readability with several metrics, and plot readability variation over time at document and paragraph level.

• Coursera
• 1 hour 22 minutes
• No Longer Offered
• Paid Course