Data Analysis with PythonLaajuus (10 op)
Opintojakson tunnus: TT00EX21
Opintojakson perustiedot
- Laajuus
- 10 op
- Opetuskieli
- englanti
- Korkeakoulu
- Metropolia
Osaamistavoitteet
Learning outcomes of the course: After completing the course, student will learn the fundamentals of data analysis with Python. Student will know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Sisältö
- ES6
- Regular Expressions
- Debugging
- Basic Data Structures
- Basic Algorithm Scripting
- Object Oriented Programming
- Functional Programming
- Intermediate Algorithm Scripting
Arviointikriteerit, tyydyttävä (1)
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.
Arviointikriteerit, hyvä (3)
Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Arviointikriteerit, kiitettävä (5)
Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in study and work situations. Students are able to analyze the information and communication technology sector expertise and the development of their own expertise.
Arviointikriteeri, hyväksytty/hylätty
Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.