Introduction to Data AnalyticsLaajuus (5 cr)

Objective

The student understands basics of data analytics in data engineering and machine learning. The student acquires knowledge on, and experience with, selected environments and libraries for data analytics. The student is able to utilize them, in e.g., data preparation for machine learning algorithms.

Content

- Data preparation, pre-processing
- Data exploration, analysis; e.g., visual, numerical
- Use of data analytics environments and libraries

Assessment criteria, satisfactory (1)

Grade 1: The student knows basics of data analytics in data engineering and machine learning. The student is able apply basic data analytics techniques in data engineering and machine learning.

Assessment criteria, good (3)

Grade 3: The student understands basics of data analytics in data engineering and machine learning. The student is able apply a variety of data analytics techniques in data engineering and machine learning, suitably.

Assessment criteria, excellent (5)

Grade 5: The student understands basics of data analytics in data engineering and machine learning. The student is able apply a variety of data analytics techniques in data engineering and machine learning, most suitably.