ESF:MPM_DPBI Data processing with powerBI - Course Information
MPM_DPBI Data processing with powerBI
Faculty of Economics and AdministrationAutumn 2023
- Extent and Intensity
- 0/2/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- Ing. Pavel Lasák (seminar tutor)
- Guaranteed by
- Ing. Pavel Lasák
Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration - Timetable of Seminar Groups
- MPM_DPBI/01: Mon 12:00–13:50 VT204, except Mon 18. 9., except Mon 6. 11., P. Lasák
- Course Enrolment Limitations
- The course is offered to students of any study field.
The capacity limit for the course is 40 student(s).
Current registration and enrolment status: enrolled: 15/40, only registered: 0/40, only registered with preference (fields directly associated with the programme): 0/40 - Course objectives
- The student is able data to download, edit, create relationship , visualize and then share.
- Learning outcomes
- load data process data visualize data create a function in DAX publish data
- Syllabus
- Basics - Introduction - Alternative tools - Power BI installation Loading data - From the web - From Excel - From csv - etc. Data editing - Introduction to PowerQuery Editor - Working with columns - Working with rows - Pivot and Unpivot - Calculations - ... Query creation - Data model Data visualization - Table - Matrix - Bar / Line / Pie Chart - Maps Creation of dasboards Data publication
- Literature
- recommended literature
- BRETT, Powell. Mastering Microsoft Power BI: Expert Techniques for Effective Data Analytics and Business Intelligence. Birmingham: Packt Publishing, 2018. ISBN 978-1-78829-723-3. info
- not specified
- DAN, Clark. Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop. 2nd ed. Berkeley, CA: Apress, 2017. ISBN 978-1-4842-2577-6. info
- ALLINGTON, Matt. Learn to write DAX : a practical guide to learning Power Pivot for Excel and Power BI. Merritt Island: Holy Macro! Books, 2016, viii, 184. ISBN 9781615470419. info
- Teaching methods
- Tasks in Power BI.
- Assessment methods
- Attendance Tasks Project Tests
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually. - Teacher's information
- Power BI only works under Windows.
- Enrolment Statistics (Autumn 2023, recent)
- Permalink: https://is.muni.cz/course/econ/autumn2023/MPM_DPBI