This course provides an introduction of programming languages in data science field. The course focuses on the foundational development skills of data structuring, flow control and object orientation for problem solving.
It compromises the basics like variables and operators, statements, and data types and data structures. Logical decisions making is also covered in the course. Furthermore, object-oriented programming (OOP) covers how to create methods and classes, handle errors and use libraries. Finally, it introduces how to apply programming in data analysis, reading and writing data files, processing data, and data visualization.
Literature lists are published at the latest one month ahead of the course start date.
To Literature ListAsk us about studying at Dalarna University.
support@du.se
+46 23-77 80 00
In the learning platform Canvas you can find more information about the course.
Visit the course roomThis course provides an introduction of programming languages in data science field. The course focuses on the foundational development skills of data structuring, flow control and object orientation for problem solving.
It compromises the basics like variables and operators, statements, and data types and data structures. Logical decisions making is also covered in the course. Furthermore, object-oriented programming (OOP) covers how to create methods and classes, handle errors and use libraries. Finally, it introduces how to apply programming in data analysis, reading and writing data files, processing data, and data visualization.
Literature lists are published at the latest one month ahead of the course start date.
To Literature ListAsk us about studying at Dalarna University.
support@du.se
+46 23-77 80 00
In the learning platform Canvas you can find more information about the course.
Visit the course roomThis course provides an introduction of programming languages in data science field. The course focuses on the foundational development skills of data structuring, flow control and object orientation for problem solving.
It compromises the basics like variables and operators, statements, and data types and data structures. Logical decisions making is also covered in the course. Furthermore, object-oriented programming (OOP) covers how to create methods and classes, handle errors and use libraries. Finally, it introduces how to apply programming in data analysis, reading and writing data files, processing data, and data visualization.
Literature lists are published at the latest one month ahead of the course start date.
To Literature ListAsk us about studying at Dalarna University.
support@du.se
+46 23-77 80 00
This course provides an introduction to programming languages in the field of data science. The course focuses on the foundational development skills of data structuring, flow control, and object orientation for problem-solving.
The course comprises the basics like variables and operators, statements, and data types and data structures. Logical decision-making also forms part of the course. Further, the course covers and how to create methods and classes, how to deal with errors and how to use libraries. Finally, it introduces how to apply programming in data analysis, how to read and write data files, and how data is processed and visualised.
Literature lists are published at the latest one month ahead of the course start date.
To Literature ListAsk us about studying at Dalarna University.
support@du.se
+46 23-77 80 00
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