Study Guide

Objective

The student knows the main content of the selected data analytics libraries and is able to utilize them for data preparation and statistical processing for utilization in machine learning. The student has central knowledge, skills and understanding on ethical, responsible, and sustainable development -conforming, data analytics.

Content

- Data preparation: filtering, extraction, aggregation and classification
- Data visualization, research and analysis
- Use of suitable data analytics libraries
- Main dimensions and best practices of ethical, responsible, and sustainable development –conforming, data analytics.

Assessment criteria, satisfactory (1)

The student is able to prepare and modify the data of a simple example case in a way that it can be utilized in machine learning algorithms or cloud services. The student knows main dimensions and best practices of ethical, responsible, and sustainable development –conforming analytics and is able to adopt them to practice.

Assessment criteria, good (3)

The student is able to choose case-specific methods for data preparation and to modify the data in such a way that it can be utilized in machine learning and cloud services. The student knows main dimensions and best practices of ethical, responsible, and sustainable development –conforming analytics and is able to adopt them to practice.

Assessment criteria, excellent (5)

The student is able to select the best case-specific methods for data preparation and to modify the data in a way that they can be utilized further in machine learning algorithms and cloud services. The student knows main dimensions and best practices of ethical, responsible, and sustainable development –conforming analytics and is able to adopt them to practice.