# TILP2400 Data visualization and analysis (5 cr)

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## Description

This course will cover different topics related to every step of a statistical study

from collecting data to statistical modeling. The course will cover the following themes:

1. Statistical studies and data collection

2. Reducing data into a table

3. Data visualization

4. Summary statistics and inference

5. Scatter plot, correlation and dependence

6. Statistical modeling.

The course focuses on understanding statistical methods through simple applications. We use statistical R software for illustrating the methods.

## Learning outcomes

After completing the course succesfully, the student

- understands the importance of statistical methods in work life

- understand the steps of a statistical study and know different concepts

related to data collection, different types of data and variables

- can use tables, charts, and statistics to describe data and the relationships

between variables

- know the basic concept of statistical inference

- understand the basics of statistical modeling

- is familiar with R software

## Description of prerequisites

Good knowledge of basic math operations (addition, subtraction, multiplication,

and division, square root, powers). Basic R skills or willingness to learn R.

## Study materials

- Course handout and related slides

- Videos

- Moodle exercises

- R practicals and solutions for them for self-evaluating the exercises

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### Method 1

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### Method 2

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### Participation in teaching (5 cr)

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#### Teaching

##### 1/9–3/19/2023 Lectures

### Exam (5 cr)

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