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Self-guided Software Carpentry Module

DISCnet students are recommended to undertake the following self-guided software carpentry modules as part of their training.* Please follow the links. A rough estimate of the time needed to complete each module is shown in brackets.

*We are sourcing a new supplier for these courses.

Introductory Modules

Introduction to GIT for Data Science (4h)
Introduction to Shell for Data Science (4h)

Recommended Modules

Intro to Data science in python (4h)
Intermediate python for data science (4h)
Python data science toolbox part 1 (3h)
Python data science toolbox part 2 (3h)
Importing data in python part 1 (3h)
Importing data in python part 2 (2h)
Cleaning data in python (4h)

Statistics on DataCamp

Statistical thinking in python part 1 (3h))
Statistical thinking in python part 2 (4h)
Case studies in statistical thinking (4h)

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