Accessing and using Claude

Course category Digital Skills Lab 2026/27
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AI Fluency: Framework & Foundations

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AI for social sciences

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Codecademy: Introduction to Cybersecurity

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Codecademy: Learn CSS

Course category Digital Skills Lab 2026/27
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Codecademy: Learn HTML

Course category Digital Skills Lab 2026/27
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Codecademy: Learn Intermediate CSS

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Codecademy: Learn R

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Codecademy: Learn SQL

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Dataquest: APIs in R

Course category Digital Skills Lab 2026/27
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Dataquest: web scraping in R

Course category Digital Skills Lab 2026/27
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DSL Python Workshop Series

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DSL R Dissertation Masterclass Series

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DSL R Workshop Series

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DSL Workshop Resources

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Excel for Quantitative Methods ST107 In-sessional Course

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Excel for Quantitative Methods ST107 In-sessional Course

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Excel for Quantitative Methods ST107 In-sessional Course

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Installing Python and VS Code

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Introduction to Git and GitHub

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Introduction to NVivo

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Introduction to SPSS

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Introduction to Stata

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Machine learning 1: cats and dogs image classification

Course category Digital Skills Lab 2026/27
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Machine learning 2: face detection algorithms

Course category Digital Skills Lab 2026/27
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OpenLearn: Learn to code for data analysis

Course category Digital Skills Lab 2026/27
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Programming resources for Maths and Statistics PhD students

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Python and R for MSc Finance (Part-time)

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Python Basics for MA214 Algorithms and Data Structures

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Python Basics for MA407 and MA429

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Python for Accounting

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Python for Data Science Pre-sessional Course

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Python for Economics Preparatory Course

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Python for Finance for BSc Students

Course category Digital Skills Lab 2026/27
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Python for Finance for MSc Students

Course category Digital Skills Lab 2026/27
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Python for MA323

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Python for MA417

Course category Digital Skills Lab 2026/27
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Python for MSc Finance (Part-time)

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Python for Statistics Pre-sessional Course

Course category Digital Skills Lab 2026/27
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R Advanced for Methodology Preparatory Course

Course category Digital Skills Lab 2026/27
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