# TILP2400 Data visualization and analysis (5 cr)

Study level:
Basic studies
0-5
Language:
English, Finnish
Responsible organisation:
Department of Mathematics and Statistics
Coordinating organisation:
Department of Mathematics and Statistics, Open University
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028

## 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

A student who has successfully completed the course:
• understands the importance of statistical methods in work life,
• understands the steps of a statistical study and knows 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,
• knows the basic concepts of statistical inference,
• understands the basics of statistical modeling,
• is familiar with R software.

## Description of prerequisites

Good knowledge of basic math operations (addition, subtraction, multiplication, 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 self-evaluating the exercises

## Completion methods

### Method 1

Evaluation criteria:
The grade of the course is determined as a weighted average of the assignments and exams. At least half of the maximum points in the exam are usually required for approved grade.
Time of teaching:
Period 1
Select all marked parts

### Method 2

Evaluation criteria:
The grade of the course is determined as a weighted average of the assignments and exams. At least half of the maximum points in the exam are usually required for approved grade.
Time of teaching:
Period 3, Period 4
Select all marked parts
Parts of the completion methods
x

### Participation in teaching (5 cr)

Type:
Participation in teaching
0-5
Language:
English, Finnish

x

### Independent study (5 cr)

Type:
Independent study