R: intro / data cleaning and imputation R / basics of visualisation
Informacje ogólne
Kod przedmiotu: | 2400-DS1R |
Kod Erasmus / ISCED: |
14.3
|
Nazwa przedmiotu: | R: intro / data cleaning and imputation R / basics of visualisation |
Jednostka: | Wydział Nauk Ekonomicznych |
Grupy: |
Anglojęzyczna oferta zajęć WNE UW Przedmioty kierunkowe do wyboru - studia II stopnia IE - grupa 1 (6*30h) Przedmioty obowiązkowe dla I roku Data Science and Business Analytics |
Punkty ECTS i inne: |
3.00
|
Język prowadzenia: | angielski |
Rodzaj przedmiotu: | obowiązkowe |
Skrócony opis: |
The aim of the course is to introduce the statistical program R-CRAN. The course is dedicated to master's program students of Econometrics and Informatics, Data Science programs and for all who want to learn advanced statistical software and use it both in business analytics and in scientific work. The course is realized in a computer lab. Passing requirements: the final exam. |
Pełny opis: |
The main aim of the course is to make students familiar with advanced statistical software which requires coding skills. In the course we will focus on: i) preparation of an efficient work environment ii) preparing and tidying different types of data sets iii) visualization. Students will obtain the necessary knowledge of the language of the R program to use the R program packages, as well as independently develop applications based on available packages. In addition to IT skills, students will be shown examples of the empirical application of the data analysis program to encourage them to use the program in their own areas of interest. The topics include: • R and R-Studio basics – graphical interface/editor, projects, package installation • Data import • Basics of commands, types of objects and data structures • Basic data management – operations on data-frames, handling missing values, factors, combining data, sorting, subsetting • Basic plots – bar plots, pie charts, histograms, box plots, scatter plots, mosaic plots or correlograms • R as the analytical solution – descriptive statistics, frequency and contingency tables, correlations, example parametric and nonparametric tests • Basics of user-written functions, control flow • RMarkdown report preparation • Introduction to %>% pipe flow in R – basics of tidyverse The list may be extended, depending on the initial skills and the interest of the group. |
Literatura: |
- own materials Compulsory literature: • Wickham, H., & Grolemund, G. (2016). R for data science. • Kabacoff R. (2011). R in Action. Data analysis and graphics with R. Additional (only in Polish): • Biecek P., 2008, Przewodnik po pakiecie R, Oficyna Wydawnicza GIS, Wrocław |
Efekty uczenia się: |
After this course the student: - Student is familiar with R-CRAN computational environment - Student is able to use different data sets to conduct their own research - Student gains and processes data independently - Student is capable of visualizing basic structures and solving simple research problems - Student is able to perform troubleshooting of their code, finding solutions to simple code-related issues K_U02, K_U05 |
Metody i kryteria oceniania: |
The final grade includes: • credits for solving tasks performed in the course of self-study in class and homework (30 credits), • written exam (70 points), • extra points for activity. Grades: Points Grade [0-50] ndst (2) (50-60] Dst (3) (60-70] dst + (3+) (70-80] Db (4) (80-90] db + (4+) (90-100] Bdb (5) >100 bdb ! (5!) |
Zajęcia w cyklu "Semestr zimowy 2023/24" (zakończony)
Okres: | 2023-10-01 - 2024-01-28 |
Przejdź do planu
PN WT ŚR CZ LAB
LAB
PT LAB
LAB
|
Typ zajęć: |
Laboratorium, 30 godzin
|
|
Koordynatorzy: | Maria Kubara | |
Prowadzący grup: | Maria Kubara | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Egzamin
Laboratorium - Egzamin |
Zajęcia w cyklu "Semestr zimowy 2024/25" (zakończony)
Okres: | 2024-10-01 - 2025-01-26 |
Przejdź do planu
PN WT ŚR CZ KON
KON
PT KON
KON
|
Typ zajęć: |
Konwersatorium, 30 godzin
|
|
Koordynatorzy: | Maria Kubara | |
Prowadzący grup: | Maria Kubara | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Egzamin
Konwersatorium - Egzamin |
Właścicielem praw autorskich jest Uniwersytet Warszawski.