Visualisation and Reporting of Statistical Analysis
Informacje ogólne
Kod przedmiotu: | 138311-D |
Kod Erasmus / ISCED: |
11.2
|
Nazwa przedmiotu: | Visualisation and Reporting of Statistical Analysis |
Jednostka: | Szkoła Główna Handlowa w Warszawie |
Grupy: |
Courses for QME - bachelors Elective courses for QME - bachelors Przedmioty kierunkowe do wyboru SLLD-MIS |
Punkty ECTS i inne: |
3.00 (zmienne w czasie)
|
Język prowadzenia: | angielski |
Efekty uczenia się: |
Wiedza: Student is able to create progrmas in R to analyse the data and visualise the results. He/she can extend the his knowledge based on the internet sources. Student knows the basic rules of creation of the scientific texts and business reports where data analysis are applied. Studnet knows the prepapration of clear and intresting multimedia presentation that ilustrate the results of the statistical analysis Student knows the selected statisctical and econometric methods. Umiejętności: Student knows how to find and use microdatabases from Internet and prepare basic statistical analysis. Student is able to properly prepare and deliver a presentation showing the research problem, method of analysis and the results of verification of the hypothesis Student is able to prepare report that describe and comment the results of the analysis. The report should have clear structure and properly edicted text, figures, tables and bibliography. Student is able to applied statistical econometric methods to practical data analysis and interprete the obtained results. Kompetencje społeczne: The student is able to carry out studies and prepare a report of the most important results for the purposes of scientific work or business report. Student can find and use the available micro-data on topics of interest to him and has orientation on how the selection of suitable methods for their analysis. The students knows basic ethical rules relevant to the analysts' jobs |
Zajęcia w cyklu "Semestr letni 2024/25" (w trakcie)
Okres: | 2025-02-15 - 2025-09-30 |
Przejdź do planu
PN WT ŚR CZ PT LAB
|
Typ zajęć: |
Laboratorium, 30 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | Maja Rynko | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Laboratorium - Ocena |
|
Skrócony opis: |
R programming. Data visualization. PowerPoint presentations. Business and scientific reports writing. |
|
Pełny opis: |
The aim of the subject is the presentation of the good practice in the statistical analysis and their presentation. In particular in the application to the analysis of survey data. Important parts of this knowledge are the methods of: reporting results in scientific and business texts and introduction to effective presentation of the results. |
|
Literatura: |
Literatura podstawowa: Venables, W. N., Smith, D. M., the R Core Team (2016) "An Introduction to R" , https://cran.r-project.org/doc/manuals/r-release/R-intro.pd ********************* Chang W. (2013) "R Graphics Cookbook", O'Reilly Media ************ Tufte E. (2001), "The Visual Display of Quantitative Information". Literatura uzupełniająca: Wickham H. (2016), ggplot2. Elegant Graphics for Data Analysis. Heiss F. (2016), Using R for Introductory Econometrics. R and R-Studio on-line materials |
|
Uwagi: |
Kryteria oceniania: referaty/eseje: 75.00% ocena z ćwiczeń: 25.00% |
Zajęcia w cyklu "Semestr zimowy 2024/25" (zakończony)
Okres: | 2024-10-01 - 2025-02-14 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Laboratorium, 30 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Laboratorium - Ocena |
|
Skrócony opis: |
R programming. Data visualization. PowerPoint presentations. Business and scientific reports writing. |
|
Pełny opis: |
The aim of the subject is the presentation of the good practice in the statistical analysis and their presentation. In particular in the application to the analysis of survey data. Important parts of this knowledge are the methods of: reporting results in scientific and business texts and introduction to effective presentation of the results. |
|
Literatura: |
Literatura podstawowa: Venables, W. N., Smith, D. M., the R Core Team (2016) "An Introduction to R" , https://cran.r-project.org/doc/manuals/r-release/R-intro.pd ********************* Chang W. (2013) "R Graphics Cookbook", O'Reilly Media ************ Tufte E. (2001), "The Visual Display of Quantitative Information". Literatura uzupełniająca: Wickham H. (2016), ggplot2. Elegant Graphics for Data Analysis. Heiss F. (2016), Using R for Introductory Econometrics. R and R-Studio on-line materials |
|
Uwagi: |
Kryteria oceniania: referaty/eseje: 75.00% ocena z ćwiczeń: 25.00% |
Zajęcia w cyklu "Semestr letni 2023/24" (zakończony)
Okres: | 2024-02-24 - 2024-09-30 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Laboratorium, 30 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Laboratorium - Ocena |
|
Skrócony opis: |
R programming. Data visualization. PowerPoint presentations. Business and scientific reports writing. |
|
Pełny opis: |
The aim of the subject is the presentation of the good practice in the statistical analysis and their presentation. In particular in the application to the analysis of survey data. Important parts of this knowledge are the methods of: reporting results in scientific and business texts and introduction to effective presentation of the results. |
|
Literatura: |
Literatura podstawowa: Venables, W. N., Smith, D. M., the R Core Team (2016) "An Introduction to R" , https://cran.r-project.org/doc/manuals/r-release/R-intro.pd ********************* Chang W. (2013) "R Graphics Cookbook", O'Reilly Media ************ Tufte E. (2001), "The Visual Display of Quantitative Information". Literatura uzupełniająca: Wickham H. (2016), ggplot2. Elegant Graphics for Data Analysis. Heiss F. (2016), Using R for Introductory Econometrics. R and R-Studio on-line materials |
|
Uwagi: |
Kryteria oceniania: referaty/eseje: 75.00% ocena z ćwiczeń: 25.00% |
Zajęcia w cyklu "Semestr zimowy 2023/24" (zakończony)
Okres: | 2023-10-01 - 2024-02-23 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Laboratorium, 30 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Laboratorium - Ocena |
|
Skrócony opis: |
R programming. Data visualization. PowerPoint presentations. Business and scientific reports writing. |
|
Pełny opis: |
The aim of the subject is the presentation of the good practice in the statistical analysis and their presentation. In particular in the application to the analysis of survey data. Important parts of this knowledge are the methods of: reporting results in scientific and business texts and introduction to effective presentation of the results. |
|
Literatura: |
Literatura podstawowa: Venables, W. N., Smith, D. M., the R Core Team (2016) "An Introduction to R" , https://cran.r-project.org/doc/manuals/r-release/R-intro.pd ********************* Chang W. (2013) "R Graphics Cookbook", O'Reilly Media ************ Tufte E. (2001), "The Visual Display of Quantitative Information". Literatura uzupełniająca: Wickham H. (2016), ggplot2. Elegant Graphics for Data Analysis. Heiss F. (2016), Using R for Introductory Econometrics. R and R-Studio on-line materials |
|
Uwagi: |
Kryteria oceniania: referaty/eseje: 75.00% ocena z ćwiczeń: 25.00% |
Właścicielem praw autorskich jest Szkoła Główna Handlowa w Warszawie.