Data analysisLaajuus (5 cr)

Objective

You understand the use of different libraries in data analysis.
You know how to use programming-based computation in data processing.
You understand the basics of data wrangling in programming.
You can use data visualization to gain insights from data.
You know how to prepare data for machine learning.

Content

How are different libraries used in data analysis?
How is data analysis related to machine learning?
What types of computation are used in data analysis?
How is data processed?
Why is data visualized?
How is data prepared to be suitable for machine learning models?

Qualifications

Knowledge of programming, object-oriented programming, and mathematics is required.

Accomplishment methods

a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
c. identify interrelated tasks.
e. use the key models, methods, software and techniques of the professional field.
g. justify their actions according to the ethical principles of the professional field.