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Dashboards and Power Excel Tools

General data

Course ID: 2400-ZEWW837
Erasmus code / ISCED: 14.3 The subject classification code consists of three to five digits, where the first three represent the classification of the discipline according to the Discipline code list applicable to the Socrates/Erasmus program, the fourth (usually 0) - possible further specification of discipline information, the fifth - the degree of subject determined based on the year of study for which the subject is intended. / (0311) Economics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Dashboards and Power Excel Tools
Name in Polish: Dashboardy i narzędzia Power Excel
Organizational unit: Faculty of Economic Sciences
Course groups: (in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia EP - grupa 1 (3*30h)
(in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia EP - grupa 4 (1*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 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

Prerequisites (description):

Knowledge of MS Excel at an advanced level.

Short description:

In employees, the ability to quickly perform analyses and clearly present their results (e.g. in the form of dashboards) is extremely valuable, regardless of their position in the company. Microsoft Excel provides great opportunities in the area of strongly developing Business Intelligence in the form of appropriate tools and add-ons, ie: Power Query, Power Pivot, Power Map. These tools provide a lot of advantages related primarily to speed, efficiency and interactivity, compared to standard spreadsheet functionalities, and knowledge of Microsoft Excel BI tools is becoming an indispensable element among the skills of employees working with data.

Full description:

In recent years, due to the continuous increase in the volume of processed and analyzed data, business analytics has become increasingly important. The ability to quickly perform analyses and clearly present their results (e.g. in the form of dashboards) is extremely valuable, regardless of the position held in the company. Microsoft Excel provides great opportunities in the area of strongly developing Business Intelligence in the form of appropriate tools and add-ons, ie:

- Power Query - allows you to efficiently import, transform and combine data;

- Power Pivot - allows comprehensive creation of a data model, based on which reports and statements are generated;

- Power Map - is used to visualize data on maps.

These tools offer a lot of advantages related primarily to speed, efficiency and interactivity, compared to standard spreadsheet functionality, and familiarity with Microsoft Excel's BI tools is becoming an indispensable element among the skills of data workers.

For whom: The course is dedicated to people who are familiar with Excel, work on large data sets or often perform data visualizations creating so-called management cockpits (dashboards), and want to learn how to quickly and efficiently import, process and present data and create various types of reports.

Topics covered in the course include discussion of creating dashboards (taking into account the presentation of data on different types of charts and dynamic ranges of data), learning how to use Power Query tools (importing different types of data formats, transforming data, adding custom fields, merging data), Power Pivot (creating a data model, as well as constructing pivot tables based on the data model), Power Map (using geolocation to visualize data on maps, saving created maps in the traditional way and in the form of 3D visualization).

Note 1: elearning form of classes on the platform: https://elearning.wne.uw.edu.pl (complete class materials with solutions and instructional videos explaining the issues discussed - no live classes).

Note 2: the course is part of the educational path " Analytical dashboards using Business Intelligence tools", upon completion of which participants receive a certificate. Details on the WNE UW website (Student> Educational Paths).

Note 3: It is possible to take the courses "Effective Data Analysis in MS Excel" and "Dashboards and Power Excel Tools" in one semester. Both courses consist of 6 blocks of 5 teaching hours each and will be implemented one after the other. The course "Effective Analysis ..." until mid-November, and the course "Dashboards ..." from mid-November.

Note 4: The software version in the course is Microsoft Office 2021 or later (language version: Polish, operating system: Windows). Using an earlier version is possible, but it may cause some difficulties. 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 create advanced reports using Power Excel tools presented in the form of dashboards. Topics of the course included the creation of dashboards (taking into account the presentation of data on different types of charts, using Power Query tools (importing different types of data formats, transforming data, adding custom fields, combining data), Power Pivot (creating a data model, as well as constructing pivot tables based on the data model) and Power Map (using geolocation to visualize data on maps, saving created maps in the traditional way and in the form of 3D visualization). Thanks to the course, the student knows the latest trends in working on data, creating reports and visualizing the obtained results, and is able to create professional business applications in MS Excel.

Assessment methods and assessment criteria:

The final grade consists of:

• final project: 100 points;

• extra points for activity.

Assessment:

Score points

[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 2024/25" (past)

Time span: 2024-10-01 - 2025-01-26
Selected timetable range:
Go to timetable
Type of class:
E-learning course, 30 hours more information
Coordinators: Przemysław Kusztelak
Group instructors: Przemysław Kusztelak
Students list: (inaccessible to you)
Credit: Course - Grading
E-learning course - Grading

Classes in period "Winter semester 2025/26" (future)

Time span: 2025-10-01 - 2026-01-25
Selected timetable range:
Go to timetable
Type of class:
E-learning course, 30 hours more information
Coordinators: Przemysław Kusztelak
Group instructors: Przemysław Kusztelak
Students list: (inaccessible to you)
Credit: Course - Grading
E-learning course - Grading
Course descriptions are protected by copyright.
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