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(in Polish) MS Access dla użytkowników Excela

General data

Course ID: 2400-ZEWW810
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: MS Access dla użytkowników Excela
Organizational unit: Faculty of Economic Sciences
Course groups: (in Polish) Przedmioty kierunkowe do wyboru - studia II stopnia EP - grupa 4 (1*30h)
(in Polish) Przedmioty kierunkowe do wyboru- studia I stopnia EP
(in Polish) Przedmioty wyboru kierunkowego dla studiów licencjackich MSEM
ECTS credit allocation (and other scores): 6.00 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:

Did you know that knowledge of databases and SQL is required in about 80% of job offers for the position of an analyst? In a world where information stored in databases plays a huge role, people who can control it are needed. Microsoft Access is the environment for data organization and analysis. If you want to develop your competences in the field of data analysis, design and carry out analytical processes that require a clear flowchart, it is worth investing time and strength into proficiency in Microsoft Access and the SQL query language. Access for Excel users can help. In this course, you will deepen your knowledge of relational databases. You will create queries in SQL and you will learn how to present analysis results in attractively formatted reports. If Excel doesn't meet all of your data analytics needs, Access is the perfect addition to your analytical skills.

Full description:

Who can participate:

In a world where information stored in databases plays a huge role, people who can control it are needed. Microsoft Access is the environment for data organization and analysis. If you want to develop your competences in the field of data analysis, design and carry out analytical processes that require a clear flowchart, it is worth investing time and strength into proficiency in Microsoft Access and the SQL query language. Access for Excel users can help. In this course, you will deepen your knowledge of relational databases. You will create queries in SQL and you will learn how to present analysis results in attractively formatted reports. If Excel doesn't meet all of your data analytics needs, Access is the perfect addition to your analytical skills.

The Access course for Excel users is intended especially for people who work in Excel on a daily basis. The main emphasis will be on showing what it is worth using Access for and how to combine the potential of both programs. Students with some database experience will organize their knowledge and acquire more advanced skills by enrolling in the course. On the other hand, those who have not dealt with Access before will learn how to navigate in the program, create relational databases, and perform analysis using reports.

Course description:

In the Access course for Excel users, you will gain the ability to use MS Access independently. You will learn to use its versatile possibilities. The subject of the course includes, among others the following topics: creating tables, transforming data, working on relational databases, using queries (aggregate, functional and cross), using calculated fields, conducting conditional analyzes, SQL language. So you will be able to manage large databases, analyze data by creating queries (queries) in SQL language and present the results of your analysis in attractively formatted reports.

Note 1: classes are held in the form of e-learning on the platform: https://moodle.wne.uw.edu.pl (no live classes).

Note 2: The software version in the course is Microsoft Office 2016, 2019 or 365 (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 (lack of necessary software components). The University of Warsaw does not provide participants with the necessary computer hardware or software.

Bibliography:

Literature

- own materials (including a manual of 128 A4 pages)

- Alexander M., Microsoft Access. Przewodnik dla użytkowników Excela, Helion 2013

- Mendrala D., Szeliga M., Praktyczny kurs SQL. Wydanie III, Helion 2015

Learning outcomes:

Student has the ability to use MS Access. The subject of the course included following topics: creating tables, transforming data, working on relational databases, using queries (aggregate, functional and cross), using calculated fields, conducting conditional analyzes, SQL language, creating reports and effective methods of working with databases. The student is able to manage large databases, analyze data by creating queries (queries) in SQL and present the results of his analyzes in attractively formatted reports.

Assessment methods and assessment criteria:

The final evaluation consists of:

• finale project: 70 points;

• extra points for activity.

Assessment:

Score points

[0-35) 2

[35-42) 3

[42-49) 3+

[49-56) 4

[56-63) 4+

[63-70) 5

od 70 5!

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Seminar, 30 hours more information
Coordinators: Przemysław Kusztelak
Group instructors: Łukasz Filipiuk, 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/
contact accessibility statement USOSweb 7.0.3.0 (2024-03-22)