Search results for: QUANTITATIVE DESCRIPTIVE ANALYSIS - Bridge of Knowledge

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Search results for: QUANTITATIVE DESCRIPTIVE ANALYSIS

Search results for: QUANTITATIVE DESCRIPTIVE ANALYSIS

  • Methods of quantitative analysis (team project)

    e-Learning Courses
    • A. Kordalska

  • METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) (2022/2023)

    e-Learning Courses
    • P. Paradowski

    METHODS OF QUANTITATIVE ANALYSIS (TEAM PROJECT) - Economic Analytics, Lecture and Lab, Winter Semester 2022/2022. Teacher: dr Piotr Paradowski 

  • Quantitative research methods

    e-Learning Courses
    • P. Paradowski

    Quantitative research methods - dr P. Paradowski

  • Descriptive Statistics 2024

    e-Learning Courses
    • K. Flisikowski

    Descriptive Statistics - Data Engineering prof. Karol Flisikowski - summer semester 2023/24

  • Descriptive Statistics with R

    e-Learning Courses
    • K. Flisikowski

    Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2022/23

  • Descriptive & mathematical statistics 2019

    e-Learning Courses
    • B. Kochański

    Descriptive Statistics for Data Engineering 2019

  • Descriptive Statistics - summer 2022

    e-Learning Courses
    • K. Flisikowski

    Descriptive Statistics - Data Engineering Karol Flisikowski - summer semester 2021/22

  • Descriptive geometry

    e-Learning Courses
    • A. Wancław

  • FORECASTING - QUANTITATIVE METHODS

    e-Learning Courses
    • P. Paradowski

  • Financial Analysis exercises - New

    e-Learning Courses
    • P. Figura

    To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

  • Financial Analysis exercises - New (copy)

    e-Learning Courses
    • K. Kubiszewska

    To obtain theoretical and practical experience of financial and economic analysis.   Methods of economic analysis:  Elements of production and human resources analysis, tangible assets analysis, inventory analysis, which would enable to understand the business case, to measure them and find suitable decision. To obtain theoretical and practical experience of financial analysis. 

  • Decisions Analysis 2023/2024

    e-Learning Courses
    • N. Rizun

    This is content to the subject: "Decisions Analysis" to be used as a template for futher courses.

  • Qualitative data analysis methods

    e-Learning Courses
    • M. Starnawska

    This is the continuation of Qualitatative Data Analysis Methods course provided online

  • [ZiJ, EiF] Quantitative research methods

    e-Learning Courses
    • M. Gurczyńska
    • P. Paradowski

    {mlang pl} Dyscyplina: nauki o zarządzaniu i jakości, ekonomia i finanse Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  dr Piotr Paradowski Liczba godzin: 30 Forma zajęć: laboratories Kurs realizowany w zakładce WZiE: https://enauczanie.pg.edu.pl/moodle/course/view.php?id=11366  Na kurs należy zapisać się samodzielnie: https://enauczanie.pg.edu.pl/moodle/enrol/index.php?id=11366  {mlang} {mlang en} Discipline:...

  • [EiF, ZiJ] Quantitative research methods

    e-Learning Courses
    • P. Paradowski

    {mlang pl} Dyscyplina: EiF, ZiJ Zajęcia obowiązkowe dla doktorantów I roku Prowadzący:  P. Paradowski, LIS&PG Liczba godzin: 30 Forma zajęć: laboratoria {mlang} {mlang en} Discipline: EiF, ZiJ Obligatory course for 1st-year PhD students Academic teacher: P. Paradowski, LIS&PG Total hours of training: 30 teaching hours Course type: Laboratories {mlang}      

  • Decisions Analysis STAC 22/23

    e-Learning Courses
    • G. Musiatowicz-Podbiał

    This is content to the subject: "Decisions Analysis" 22/23

  • Data Analysis 2023/24

    e-Learning Courses
    • K. Flisikowski

    Data Analysisdr inż. Karol Flisikowski, prof. PG - winter semester 2023/24

  • Macroeconomic analysis

    e-Learning Courses
    • M. Olczyk

  • Market analysis

    e-Learning Courses
    • A. Kozłowska

    Kurs przeznaczony dla studentów studiów stacjonarnych Inżynierii Danych, I stopnia, semestr 7 (zimowy) w roku akademickim 2021/2022.

  • Financial Analysis

    e-Learning Courses
    • K. Kubiszewska