Emblem of the Republic of Poland SGGW Logo
pl en

Analysis and visualization of quantitative data

2025/26, postgraduate study, part-time studies

W trakcie studiów podyplomowych „Analiza i wizualizacja danych ilościowych” słuchacze zostaną zapoznani z metodami analizy statystycznej oraz uzyskają praktyczną wiedzę niezbędną do wykorzystania metod statystycznych we własnych badaniach i analizach. Uczestnicy studiów nabędą wiedzę w zakresie struktury badania statystycznego, rozkładów statystycznych, miar statystyki opisowej oraz miar zależności. Rozpoczną pracę w programach statystycznych umożliwiających obróbkę i analizę danych ilościowych (program IBM SPSS Statistics, R) oraz ich atrakcyjną i nowoczesną wizualizację (program MS Power BI Desktop). Studia wprowadzą słuchaczy w problematykę analiz dużych zbiorów danych, stwarzając możliwość zapoznania się z wybranymi metodami i narzędziami stosowanymi w przetwarzaniu Big Data. Dodatkowo słuchacze nabędą wiedzę na temat sposobów pozyskiwania funduszy na badania.

Link do strony: https://wsip.sggw.pl/analiza-i-wizualizacja-danych-ilosciowych

Rekrutacja na studia odbywa się w internetowym systemie IRK: https://rekrutacja.sggw.edu.pl/pl/

>> Program studiów podyplomowych

List of courses - Winter semester, 2025/26
Subject Number of hours ECTS points Form of verification Mandatory
Lecture: 15 h , including remote classes: Synchronous lecture: 15 h
ECTS points: 2
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 15, including remote classes:
  • Synchronous lecture: 15
 2 Pass with grade Obligatory subjects
Lecture: 10 h , including remote classes: Synchronous lecture: 10 h
ECTS points: 2
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 10, including remote classes:
  • Synchronous lecture: 10
 2 Pass with grade Obligatory subjects
Lecture: 10 h , including remote classes: Synchronous lecture: 10 h
Auditorium exercises: 5 h , including remote classes: Synchronous auditorium exercises: 5 h
ECTS points: 2.5
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 10, including remote classes:
  • Synchronous lecture: 10
Auditorium exercises: 5, including remote classes:
  • Synchronous auditorium exercises: 5
 2.5 Pass with grade Obligatory subjects
Lecture: 10 h , including remote classes: Synchronous lecture: 10 h
Auditorium exercises: 5 h , including remote classes: Synchronous auditorium exercises: 5 h
ECTS points: 2.5
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 10, including remote classes:
  • Synchronous lecture: 10
Auditorium exercises: 5, including remote classes:
  • Synchronous auditorium exercises: 5
 2.5 Pass with grade Obligatory subjects
Lecture: 5 h , including remote classes: Synchronous lecture: 5 h
Auditorium exercises: 5 h , including remote classes: Synchronous auditorium exercises: 5 h
ECTS points: 2
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 5, including remote classes:
  • Synchronous lecture: 5
Auditorium exercises: 5, including remote classes:
  • Synchronous auditorium exercises: 5
 2 Pass with grade Obligatory subjects
Lecture: 7 h , including remote classes: Synchronous lecture: 7 h
ECTS points: 1.5
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 7, including remote classes:
  • Synchronous lecture: 7
 1.5 Pass with grade Obligatory subjects
Lecture: 8 h , including remote classes: Synchronous lecture: 8 h
ECTS points: 1.5
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 8, including remote classes:
  • Synchronous lecture: 8
 1.5 Pass with grade Obligatory subjects
Lecture: 5 h , including remote classes: Synchronous lecture: 5 h
ECTS points: 1
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 5, including remote classes:
  • Synchronous lecture: 5
 1 Pass with grade Obligatory subjects
Sum 85 15
List of courses - Summer semester, 2025/26
Subject Number of hours ECTS points Form of verification Mandatory
Laboratory exercises: 20 h
ECTS points: 3
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Laboratory exercises: 20
3 Pass with grade Obligatory subjects
Laboratory exercises: 20 h
ECTS points: 3
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Laboratory exercises: 20
3 Pass with grade Obligatory subjects
Project exercises: 10 h
ECTS points: 2
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Project exercises: 10
2 Pass with grade Obligatory subjects
Laboratory exercises: 15 h
ECTS points: 2
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Laboratory exercises: 15
2 Pass with grade Obligatory subjects
Lecture: 5 h
Laboratory exercises: 5 h
ECTS points: 2
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Lecture: 5
Laboratory exercises: 5
2 Pass with grade Obligatory subjects
Laboratory exercises: 20 h
ECTS points: 3
Form of verification: Pass with grade
Mandatory: Obligatory subjects
 Laboratory exercises: 20
3 Pass with grade Obligatory subjects
Sum 95 15