| Course Unit Code | 155-1553/01 |
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| Number of ECTS Credits Allocated | 4 ECTS credits |
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| Type of Course Unit * | Choice-compulsory |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | English |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| NOV21 | Ing. Vítězslav Novák, Ph.D. |
| Summary |
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| The aim of the course is to familiarize students with the possibilities of Microsoft Excel spreadsheet for data analysis. The show will be applicable to the basic fuctions and advanced tools such as structured tables, pivot tables, Power Query tool for data transformations and Power Pivot add-in for managing data models. |
| Learning Outcomes of the Course Unit |
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To be able to process larger amounts of data using Microsoft Excel tools such as subtotals, pivot tables or PowerPivot add-in.
To be able to process data from other applications.
To understand the difference between databases in Microsoft Excel and Access. |
| Course Contents |
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Lectures:
1) Addressing in Excel
2) Excel Statistical Functions
3) Excel Other Functions
4) Formatting in Excel
5) Charts in Excel
6) Lists in Excel
7) Structured Tables in Excel
8) Pivot Tables and Charts
9) Using of Power Pivot and Power Query
10) Comparison of Excel and Access
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| Recommended or Required Reading |
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| Required Reading: |
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WINSTON, Wayne. Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365). San Francisco, Microsoft Press, 2021. ISBN 978-0137613663.
ALEXANDER, Michael and KUSLEIKA, Dick. Microsoft Excel 365 Bible. Indianapolis, John Wiley & Sons, 2022. ISBN 978-1119835103.
DECKLER, Greg and POWELL, Brett. Mastering Microsoft Power BI - Second Edition: Expert techniques to create interactive insights for effective data analytics and business intelligence. Birmingham, Packt Publishing, 2022. ISBN 978-1801811484. |
NOVÁK, Vítězslav. Analýza dat v Microsoft Excelu. Ostrava: VŠB - Technická univerzita Ostrava, 2023. ISBN 978-80-248-4695-8.
LASÁK, Pavel. Praktické použití funkcí v Excelu. Praha: Grada Publishing, 2021. ISBN 978-80-271-1303-3.
LAURENČÍK, Marek. Excel 2019: práce s databázemi a kontingenčními tabulkami. Průvodce (Grada). Praha: Grada, 2020. ISBN 978-80-271-1391-0. |
| Recommended Reading: |
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FERRARI, Alberto and Marco RUSSO. Analyzing Data with Microsoft Power BI and Power Pivot for Excel. Redmond, Washington: Microsoft Press, 2017. ISBN 978-1-5093-0276-5.
RUSSO, Marco and Alberto FERRARI. The Definitive Guide to DAX: Business Intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel Second Edition. Redmond, Washington: Microsoft Press, 2019. ISBN 978-1509306978.
DECKLER, Greg. Learn Power BI - Second Edition: A comprehensive, step-by-step guide for beginners to learn real-world business intelligence. Birmingham, Packt Publishing, 2022. ISBN 978-1801811958. |
KLATOVSKÝ, Karel. Microsoft Excel 2021/365 nejen pro školy. Prostějov: Computer Media, 2023. ISBN 978-80-7402-451-1.
FERRARI, Alberto and Marco RUSSO. Analyzing Data with Microsoft Power BI and Power Pivot for Excel. Redmond, Washington: Microsoft Press, 2017. ISBN 978-1-5093-0276-5.
RUSSO, Marco and Alberto FERRARI. The Definitive Guide to DAX: Business Intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel Second Edition. Redmond, Washington: Microsoft Press, 2019. ISBN 978-1509306978. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Tasks are not Defined |