Course detail
Advanced analytics statistics
FP-IspaPAcad. year: 2024/2025
Advanced statistical methods building on the knowledge of students from the Bachelor's degree, extended in the course Methods of Applied Statistics. The methods will be supplemented with examples of real data processing and then practiced in exercises using computer technology.
Language of instruction
Number of ECTS credits
Mode of study
Department
Entry knowledge
Statistics at undergraduate level - descriptive statistics, interval estimation, principles of hypothesis testing.
PC user skills - working with data in a spreadsheet, ability to use application software, searching and downloading data from publicly available sources
Rules for evaluation and completion of the course
Credit will be awarded for attendance at the exercises (at least 80%) and credit work (at least 60% of the points).
Examples will consist of the correct application of the specified method to the specified data and Interpretation of the results.
The examination will consist of a comprehensive analysis of the assigned data followed by an oral examination during which the student will defend his/her chosen methods and interpret the results.
Assessment:
A 90%-100%
B 80%-89%
C 70%-79%
D 60%-69%
E 50%-59%
F 0%-49%
Aims
The aim of the course is to teach students how to effectively apply quantitative methods in practice using available computer technology. In doing so, it is expected to complement the theoretical foundations with modern numerical methods.
After studying the course, the student will be able to
-correctly formulate a statistical problem
-determine the appropriate analytical methods of solution
-obtain a solution using one of the procedures available in MS Excel or one of the statistical programs
-use the obtained result in practice
Prerequisites and corequisites
Basic literature
JABLONSKÝ, J. Operační výzkum: kvantitativní modely pro ekonomické rozhodování. 3. vyd. Praha: Professional Publishing, 2007. 323 s. ISBN 978-80-86946-44-3.
KAŇKA, M., COUFAL, J., KLŮFA, J. Učebnice matematiky pro ekonomy. Praha : Ekopress, 2009. 198 s. ISBN 978-80-86929-24-8.
Recommended reading
Biørn, E. Econometrics of Panel Data. Oxford University Press. 2016. 416p. ISBN: 9780198753445.
Hatekar, Neeraj R. Principles of Econometrics. SAGE Publications India Pvt Ltd. 2010. 464 p. ISBN: 9788132104698
KOŘENÁŘ, V. Stochastické procesy. 2. přeprac. vyd. Praha : Oeconomica, VŠE, 2010. 228 s. ISBN 978-80-245-1646-2.
Elearning
Classification of course in study plans
- Programme MGR-IM Master's 2 year of study, winter semester, compulsory-optional
Type of course unit
Elearning