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Self-guided Software Carpentry

DISCnet students are recommended to undertake the following self-guided software carpentry modules as part of their training. The links on this page contain necessary content for this module. A rough estimate of the time needed to complete each module is shown in brackets.

UDEMY is the current supplier for this course.

Objectives:

Learn Python data management and analysis
Learn how to manage data science projects with Git
Learn how to use the Shell command prompt
Learn useful skills necessary to complete other sections of DISCnet training

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

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