DataCamp Modules

DISCnet students are recommended to undertake the following DataCamp 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.

​

Introductory DataCamp Modules:

​

• Introduction to GIT for Data Science (4h)

• Introduction to Shell for Data Science (4h)

​

Recommended DataCamp 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)