TILP2400 Data visualization and analysis (5 cr)

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. 

Tilastotiede, tilastotieteen perusopinnot, R-ohjelmisto, tilastollinen tutkimus, määrälliset menetelmät, kvantitatiivinen tutkimus

• 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.

Good knowledge of basic math operations (addition, subtraction, multiplication, division, square root, powers). Basic R skills or willingness to learn R.

• Course handout and related slides
• Videos
• Moodle exercises
• R practicals and solutions for self-evaluating the exercises