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(in Polish) Efektywna analiza danych w programie MS Excel

General data

Course ID: 2400-ZEWW874
Erasmus code / ISCED: 14.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0311) Economics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: (unknown)
Name in Polish: Efektywna analiza danych w programie MS Excel
Organizational unit: Faculty of Economic Sciences
Course groups: (in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia EM - grupa 1 (3*30h)
(in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia EP - grupa 1 (3*30h)
(in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia FR - grupa 3 (4*30h)
(in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia IE - grupa 1 (6*30h)
(in Polish) Przedmioty kierunkowe do wyboru- studia I stopnia EP
(in Polish) Przedmioty wyboru kierunkowego dla studiów licencjackich EM
(in Polish) Przedmioty wyboru kierunkowego dla studiów licencjackich FIR
(in Polish) Przedmioty wyboru kierunkowego dla studiów licencjackich IE
(in Polish) Przedmioty wyboru kierunkowego dla studiów licencjackich MSEM
ECTS credit allocation (and other scores): 3.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Type of course:

optional courses

Short description:

The Effective work in MS Excel training is aimed at people working in Excel and wanting to:

- systematize Excel knowledge and learn how to do your daily work more efficiently;

- learn more effective working methods (keyboard shortcuts, tools, functions, methods);

- get to know the new functions and tools of Excel 365 and see what possibilities they offer;

- deepen your knowledge of data analysis and visualization;

- learn how to create interactive dashboards;

- be able to automate analyzes created in Excel.

The course is aimed at people who are affected by at least one of the above points. Its program has been adapted to the latest trends on the market and employers' expectations, taking into account the novelties from Excel 365.

Full description:

Full description of the course

(max 65.000 characters)

Detailed subject of the course:

1. Advanced PivotTables

2. Advanced search and address functions

3. Advanced functions of conditional calculations

4. Dynamic arrays

5. Conditional formatting

6. Data validation

7. Form controls

8. The use of Excel in business

Note 1: the course is part of the educational path "Economic data analysis in Microsoft Excel and the VBA programming language", upon completion of which participants receive a certificate. Details on the WNE UW website (Student> Educational Paths).

Note 2: The course requires a lot of student work and is delivered at an advanced level (prior knowledge of Excel at least intermediate level is required).

Note 3: The software version in the course is Microsoft Office 2021 or 365 (language version: Polish, operating system: Windows). It is not possible to use an earlier version (many functions are missing). The English language version is not a major problem, but the course a different operating system is (e.g. MacOS) due to the limitations of the Office suite (possible lack of necessary software components). The University of Warsaw does not provide participants with the necessary computer hardware or software.

Bibliography:

own materials

Learning outcomes:

The student gained the ability to efficiently and effectively use MS Excel and its advanced tools and functions. The subject of the course covered the following topics: preparing data for analysis (text, search and address functions), working with databases (creating tables, dynamic references, defining dynamic ranges), data analysis (counting and conditional functions, database and table functions, advanced pivot tables), creating automatic reports (dynamic tables and Excel 365 news), creating a user interface for reports (conditional formatting, validation, form controls). The knowledge gained during the course allows for e.g. creating advanced reports and interpreting the results obtained in them.

Assessment methods and assessment criteria:

The final grade consists of:

• collective homework

• additional activity in discussion forums

Punctation:

Points Score

[0-50) 2

[50-60) 3

[60-70) 3.5

[70-80) 4

[80-90) 4.5

[90-100) 5

from 100 5!

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
Navigate to timetable
Type of class:
Seminar, 30 hours more information
Coordinators: Przemysław Kusztelak
Group instructors: Przemysław Kusztelak
Students list: (inaccessible to you)
Examination: Course - Grading
Seminar - Grading
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
Krakowskie Przedmieście 26/28
00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
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