Научно-исследовательский семинар "Применение теоретических методов в бизнес-аналитике и сетевом анализе"

Магистратура 2023/2024

Статус: Курс по выбору

Направление: 01.04.02. Прикладная математика и информатика

Кто читает: Международная лаборатория прикладного сетевого анализа

Где читается: Факультет социальных наук

Когда читается: 1-й курс, 1-4 модуль

Формат изучения: без онлайн-курса

Охват аудитории: для своего кампуса

Преподаватели: Стегний Елена Анатольевна

Прогр. обучения: Прикладная статистика с методами сетевого анализа

Язык: английский

Кредиты: 6

Контактные часы: 48

Full Syllabus

Abstract

This course is about different approaches in business analytics and major types of business analytics. Specifically, there will be the focus on necessary vocabulary of business analyst and digital trends in the companies and applied skills in MS Office (Word, Excel, and Power Point). Throughout the semester there will be practical cases in different business fields as well as discussion of practice-oriented term papers. The seminar is aimed at developing students' skills of research work and applications of theoretical knowledge to solving practical cases.

Learning Objectives

The course gives students an important foundation to develop and conduct their own research as well as to evaluate research of others.

Expected Learning Outcomes

By the end of the course the students are expected to be able to undertake a substantial research project through which to demonstrate their research and analytical skills and how well they can apply a given theoretical understanding and methodology to a set problem.
- - be able to design and understand the structure of data; use various visual and table presentations of data.
Be able to present and/or interpret data in tables and charts.
- Use storytelling when giving a presentation.
A student compares research design
A student can choose proper tools and instruments for data visualization
A student can prepare his data for visualization
Are able to describe and justify chosen research design and methodology
Be able to escribe graph/diagram, analysing visual prompts, interpret tables/charts.
Acquiring capability to analyze and comment scientific results from a specific research topic
an ability to solve analytical and research problems with modern technical means and information technologies; an ability to organize their activities in the framework of professional tasks.
Distinguish between qualitative and quantitative research methods;
Apply the basics of social network analysis at the network level (e.g. density, clustering, degree distribution, etc.); at the node level (e.g. degree, betweenness, closeness); at the subgraph level (e.g. triads, communities)
Able to build integrated reports and dashboards
Ability to formulate research question, and explain how the question and theory define methodology;
- to learn the fundamental analytical scheme starting from data preparation and ending up with data visualisation in a form of a dashboard in Power BI
- develop critical assessment and academic presentation skills;
- to develop their presentation skills and abilities to participate in the discussions
Able to demonstrate knowledge on the principles for data visualization
Be able to present a model using a dashboard, charts, etc.
Be able to build model for measuring efficiency - Data Envelopment Analysis model - in R
Be aware of Open Data sources
Be able to extract the data using API
Be able to apply text mining in your own tasks
Be able to draw basic processes using BPMN 2.0 notations

Course Contents

1. Introduction to Business Analytics
2. Introduction to Research Projects
3. Performance Evaluation
4. Social Network Analysis: Applications for Organizations
5. Analytical Process: from Business Problem to Solution
6. Customer Analytics
7. Contemporary Text Analysis
8. Business Process Management and Financial Modelling
9. Research Methodology
10. Office skills: text and data formatting
11. Visual Communications: Charts
12. Dashboards and Visual Analytics
13. Data Analysis and Visualisation with Power BI
14. Network Visualisation for Better Decision-Making
15. Making Presentations
16. Research Paper

Assessment Elements

Test
Homework
Project

Interim Assessment

2023/2024 4th module
0.15 * Homework + 0.15 * Homework + 0.1 * Homework + 0.3 * Homework + 0.1 * Project + 0.05 * Test + 0.05 * Test + 0.05 * Test + 0.05 * Test

Bibliography

Recommended Core Bibliography

A practitioner's guide to business analytics : using data analysis tools to improve your organization's decision making and strategy, Bartlett, R., 2013
Business analytics : data analysis and decision making, Albright, S. C., 2020
Business research methods, Bell, E., 2019
English for academic study: Extended writing & research skills. Course book, McCormack, J., 2012
Exploratory social network analysis with Pajek, Nooy de, W., 2018
Grant, R. (2019). Data Visualization : Charts, Maps, and Interactive Graphics. Boca Raton, Florida: Chapman and Hall/CRC. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1944722
Models and methods in social network analysis, , 2006
Seamark, P. (2018). Beginning DAX with Power BI : The SQL Pro’s Guide to Better Business Intelligence. [United States]: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1743806
Social network analysis : methods and applications, Wasserman, S., 2009
Writing a Research Proposal in English, учебное пособие по академическому письму на английском языке для студентов экономических специальностей, НИУ Высшая школа экономики - Нижний Новгород, 189 с., Меркулова, Э. Н., Ненашева, Т. А., 2014
Кузин А.В., Чумакова Е.В. - Основы работы в Microsoft Office 2013 - Издательство ФОРУМ - 2022 - ISBN: 978-5-00091-024-5 - Текст электронный // ЭБС ZNANIUM - URL: https://znanium.com/catalog/document?id=400038
Платова, Е. Д. Effective Presentations in English : учебное пособие / Е. Д. Платова. — Оренбург : ОГУ, 2019. — 140 с. — ISBN 978-5-7410-2406-5. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/160030 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.
Феррари, А. Анализ данных при помощи Microsoft Power BI и Power Pivot для Excel : руководство / А. Феррари, М. .. Руссо , перевод с английского А. Ю. Гинько. — Москва : ДМК Пресс, 2020. — 288 с. — ISBN 978-5-97060-858-6. — Текст : электронный // Лань : электронно-библиотечная система. — URL: https://e.lanbook.com/book/179497 (дата обращения: 00.00.0000). — Режим доступа: для авториз. пользователей.

Recommended Additional Bibliography

100 questions (and answers) about survey research, Ruel, E., 2018
Empirical political analysis : quantitative and qualitative research methods, Brians, C. L., 2011
Marketing research : an applied orientation, Malhotra, N. K., 2020
Real world research : a resource for users of social research methods in applied settings, Robson, C., 2016

Course Syllabus