Learning pathways

Not sure where to start or go which course to take next? The courses in our suite are each stand-alone, but below are three suggested learner pathway journeys we’ve mapped out to help you achieve specific learning goals.


1. LEARN HOW TO ANALYZE LARGE aMounts OF TEXT FROM THE WEB

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Introduction to Text Mining
Gain a conceptual overview of the text mining landscape and a foundational understanding of the analysis of digital textual data sets.

Time to complete: 6-8 hours

Introduction to R
Gain the knowledge and skills you need to use the R programming language for social science research.


Time to complete: 12 hours

Fundamentals of Quantitative
Text Analysis

Learn how to analyze large amounts of textual data, at scale, using the R programming language.

Time to complete: 10 hours


2. LEARN HOW TO BETTER VISUALIZE YOUR DATA

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Introduction to Data Visualization
Master the principles for transforming data into powerful visualizations, with a fresh, creative approach from Andy Kirk.

Time to complete: 10 hours

Introduction to R
Gain the knowledge and skills you need to use R for social science research.


Time to complete: 12 hours

Interactive Visualization with R
Learn techniques and tools for presenting data in visually attractive and interactive ways using the R programming language.

Time to complete: 35 hours


3. LEARN HOW TO PROGRAM IN PYTHON

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Introduction to Python for Social Scientists
Perfect for beginners, this course will teach you the fundamentals of Python programming through taught materials and practical examples.

Time to complete: 20 hours

Intermediate Python Skills
Learn how to study social interactions in digital environments by building and analyzing textual data sets from a variety of digital sources.

Time to complete: 16 hours