Statistics and Data Analysis

Course code

MLM7410.DT

old course code

Course title in Estonian

Statistika ja andmeanalüüs

Course title in English

Statistics and Data Analysis

ECTS credits

4.0

Assessment form

Examination

lecturer of 2021/2022 Spring semester

lecturer not assigned

lecturer of 2022/2023 Autumn semester

lecturer not assigned

Course aims

The goal of the subject is:

to learn basic methods for preparation and maintenance of data for analysis; learn basic methods of descriptive statistics; to make the acquaintance with statistical hypotheses verification methods; to learn to interpret the results of the statistical analysis; to describe MS Excel possibilities for solving statistics and data analysis problems.

to learn basic methods for preparation and maintenance of data for analysis; learn basic methods of descriptive statistics; to make the acquaintance with statistical hypotheses verification methods; to learn to interpret the results of the statistical analysis; to describe MS Excel possibilities for solving statistics and data analysis problems.

Brief description of the course

Course covers statistics and data analysis key concepts, figures, descriptive statistics, statistical estimation theory, statistical hypothesis testing and confidence intervals, Anova and Regression analysis, some nonparametric methods, MS Excel possibilities for solving statistics and data analysis problems.

Learning outcomes in the course

Upon completing the course the student:

- knows main notions of statistical and data anlysis methods;

- is familiar with the main methods and their applications;

- is able to solve the standard exercises.

- knows main notions of statistical and data anlysis methods;

- is familiar with the main methods and their applications;

- is able to solve the standard exercises.

Teacher

Kairi Osula