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Advanced Methods of Data Processing (5 cr)

Code: TT00CC57-3001

General information


Enrollment
02.12.2022 - 31.01.2023
Registration for the implementation has ended.
Timing
01.01.2023 - 01.05.2023
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Unit
Teknologia
Teaching languages
Finnish
Degree programmes
Bachelor’s Degree in Information and Communication Technology
Teachers
Pekka Huttunen
Groups
TTV22SAI
TTV22SAI
Course
TT00CC57
No reservations found for realization TT00CC57-3001!

Objective

The goal of the course is to get to know the advanced methods of data processing, using the python libraries NumPy, Pandas, and Matplotlib. The course covers the calculation of data characteristics, data distributions, data visualization and the use of regular expressions (regex). The course also introduces data clustering.

Using these methods, the course creates a data processing chain (pipeline), which is used to perform feature engineering from the data.

Evaluation scale

0 - 5

Assessment criteria, excellent (5)

The course consists of several exercises. At least 92% of the course's practice points must be accumulated for a grade of 5.

Assessment criteria, satisfactory (1)

The course consists of several exercises. At least 50% of the course's practice points must be accumulated for grade 1.

Prerequisites

Python programming
Modern software development
Algebra

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