Part of a YH programme at TUC Yrkeshögskola. This course cannot be applied for on its own. Programme code: DATA24HEL.
Data Science teaches you to use the programming language Python and its libraries as a working environment for data processes, and how AI support via Python can be used in your work. The course is part of TUC Yrkeshögskola's YH programme Data Manager and gives you the data architecture know-how the profession requires. You gain both theoretical and practical skills to analyse and process data with modern tools. The course is taught remotely as part of the programme.
Duration: 8 weeks
Language: Swedish
Level: Advanced
CSN-eligible
Time commitment: 40 YH credits, about 8 weeks of full-time study
The course aims for the student to learn to use the programming language Python and its libraries, and to be able to use AI support via Python, as a working environment for data processes.
The course aims for the student to learn to use the programming language Python and its libraries, and to be able to use AI support via Python, as a working environment for data processes.
What you will learn
What you learn.
You can program in Python for data processes
You can use relevant Python libraries for data analysis
You can use AI support via Python in your work
You understand the basics of data architecture
You have the data architecture know-how required in the profession of data manager
Curriculum
How the course is built.
Python basics
Programming in Python for data processes.
Python libraries for data analysis
Common libraries and tools for processing and analysing data.
AI support via Python
How AI tools can be used via Python in data work.
Data architecture in practice
Applying data architecture in the role of data manager.
Target audience
Who is this for?
The course is for you who are studying the YH programme Data Manager at TUC and want to work hands-on with Python and AI support in data processes.
What "verified" means here
Verified credential.
When you complete the course, TUC Yrkeshögskola issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.
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