R, Python and Julia: do you know them all? | |
Course Leader | Christian Kauth |
Target Group | Statistical production units and methodologists of NSIs, having an interest in data science tools and a basic understanding of development. |
Entry Qualifications |
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Objective(s) | This course will enable you to pick your next top data-science programming language
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Contents |
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Expected Outcome | The participants will know the main characteristics of each language and understand their respective advantages. They will know the common tools and are able to read and modify a small provided data-science related code. |
Training Methods |
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Required Reading | None |
Suggested Reading | None |
Required Preparation |
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Trainer(s)/ Lecturer(s) | Christian Kauth (Independent expert) |
2nd Edition
Practical Information | ||||
When | Duration | Where | Organiser | Application via National Contact Point |
16, 18, 20.09.2024 | 3 sessions, 2h each | ONLINE | ICON-INSTITUT Public Sector GmbH | Deadline: 05.08.2024 |