SubjectsSubjects(version: 970)
Course, academic year 2024/2025
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Advanced Data Analysis in MS Excel - JEB111
Title: Advanced Data Analysis in MS Excel
Guaranteed by: Institute of Economic Studies (23-IES)
Faculty: Faculty of Social Sciences
Actual: from 2023
Semester: both
E-Credits: 3
Hours per week, examination: 0/2, Ex [HT]
Capacity: winter:unknown / 89 (60)
summer:unknown / unknown (60)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Note: course can be enrolled in outside the study plan
enabled for web enrollment
priority enrollment if the course is part of the study plan
you can enroll for the course in winter and in summer semester
Guarantor: Mgr. Petr Polák, M.Sc., Ph.D.
Teacher(s): Mgr. Peter Kravec
Mgr. Theodor Petřík
Mgr. Petr Polák, M.Sc., Ph.D.
Mgr. Nikol Poláková
Incompatibility : JEM331
Is incompatible with: JEM331
Is pre-requisite for: JEB128
Files Comments Added by
download intro.pdf Seminar 1 - introduction (summer 2024/2025) Mgr. Petr Polák, M.Sc., Ph.D.
Annotation - Czech
This course is aimed to provide the students with proper tools and knowledge to handle various types of data while struggling with their homework or theses, which is done on a commonly available platform of MS Excel.
After a general short repetition (depending on the current knowledge of the attendants) of basic excel features and functions we torn to more sophisticated data analysis, searching tools, filtering and advanced formatting. Should there be any specific needs resulting from the other courses’ tasks, this course will definitely address them. In a nutshell, the course should serve to strengthen and deepen the knowledge of MSExcel which should help the students to make their work on projects quicker and more efficient as well as enhance their position in possible job interviews with a useful skill.
Last update: Bednařík Petr, PhDr., Ph.D. (15.02.2020)
Aim of the course -

This course is aimed to provide the students with proper tools and knowledge to handle various types of data while struggling with their homework or theses, which is done on a commonly available platform of MS Excel. 

After a general short repetition (depending on the current knowledge of the attendants) of basic excel features and functions we torn to more sophisticated data analysis, searching tools, filtering and advanced formatting. Should there be any specific needs resulting from the other courses’ tasks, this course will definitely address them. In a nutshell, the course should serve to strengthen and deepen the knowledge of MSExcel which should help the students to make their work on projects quicker and more efficient as well as enhance their position in possible job interviews with a useful skill.

Entry survey for Summer 2024/2025:

https://forms.gle/HQ7ZUzuckodNxYyV8

Last update: Polák Petr, Mgr., M.Sc., Ph.D. (18.02.2025)
Literature -

Any handbook will do. No book is required.

Last update: Hollmannová Monika, Ing. (29.10.2019)
Teaching methods -

UPDATED in February 2023:

- Recorded classes, through Loom, available in MS Teams

- Each week using probably hybrid form - in class and online via MS Teams (see the introduction presentation for joining details)  

Software: Microsoft Office 2016 (365 available via University license for your device as well)

Code to join us on MS Teams: "u3jtzr1". 

Login is: studentid@CUNI.cz

Last update: Polák Petr, Mgr., M.Sc., Ph.D. (14.02.2023)
Requirements to the exam -

Please register for your project on webpage:

https://docs.google.com/spreadsheets/d/1wlicTA7B5OQ6g3GbXE5ZM-0r0aGCAAXOxrwFocgZ1nk/edit?usp=sharing

Exam conditions:

Students can bring their own notebook to the exam. However, if any technical issue concerning their notebooks should prevent them from sitting for the exam, they will be asked to use the computers in the lab.
Students can use MS Office help (offline and online), own notes, google, etc. But any form of external communication or help provided by someone else is not allowed.
Students have to register via SIS for the exam.

Grading:

Test (60% weight). graded on scale 0-100 points.
Project (35% weight), graded on scale 0-35 points.
Homework (5% weigth), graded on scale 0-5 points.
Overall score is therefore 0.6 * Test + Homework + Project => between 0 and 100 points.

A: 90+ to 100
B: 80+ to 90
C: 70+ to 80
D: 60+ to 70
E: 50+ to 60
F: 50 or less

Last update: Hollmannová Monika, Ing. (29.10.2019)
Syllabus -

Description:
This course is aimed to provide the students with proper tools and knowledge to handle various types of data while struggling with their homework or theses, which is done on a commonly available platform of MS Excel.
After a general short repetition (depending on the current knowledge of the attendants) of basic excel features and functions we torn to more sophisticated data analysis, searching tools, filtering and advanced formatting. Should there be any specific needs resulting from the other courses’ tasks, this course will definitely address them. In a nutshell, the course should serve to strengthen and deepen the knowledge of MSExcel which should help the students to make their work on projects quicker and more efficient as well as enhance their position in possible job interviews with a useful skill.

Content:

Introduction to excel, logical functions
Mathematical functions
Lookup and reference functions
Information/Error functions
Text functions
Date and time functions
Conditional formating
Sorting, Filters, Pivot table
Pivot table, Goalseek
Charts
Introduction to Macros 

(project preparation)

Literature:
Any handbook will do. No book is required.

 

Online lectures:
Archive on Google Drive
Seminar 4 at Loom (exercise 2 on Loom)

Last update: Polák Petr, Mgr., M.Sc., Ph.D. (19.03.2020)
 
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