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Обычная версия сайта
07
Апрель

Analytics Communication

2022/2023
Учебный год
ENG
Обучение ведется на английском языке
4
Кредиты
Статус:
Курс обязательный
Когда читается:
4-й курс, 1 модуль

Преподаватели

Course Syllabus

Abstract

The course covers fundamental aspects of analytics communication and data visualization for business and academic audiences. The topics covered in the course include communication strategy and tools, techniques and best practices of data visualization as well as the main principles of public speaking. The key learning outcomes of the course is the ability to identify efficient ways of conveying information to the target audience based on the use of the most effective techniques of data analysis, data visualisation, data storytelling and public speaking.
Learning Objectives

Learning Objectives

  • UC-5 The ability to work with information; to find, evaluate and use information, from various sources, that is necessary to solve scientific and professional assignments (including assignments that have to be solved in a systematic way)
  • UC-8 The ability to build effective methods of communication based on the objectives and situation of the communication
  • PC-19 The ability to analyze the behavior of consumers of economic goods and the formation of demand
  • PC-20 The ability to conduct an analysis of the competitive environment
  • PC-31 The ability to collect, process, and analyze data necessary for solving research tasks
  • PC-20 The ability to conduct an analysis of the competitive environment
Expected Learning Outcomes

Expected Learning Outcomes

  • Able to demonstrate knowledge on the principles for data visualization
  • Able to develop charts, tables and other visual aids efficiently
  • Able to demonstrate the knowledge on the use of Advanced Excel to process data
  • Able to understand the steps for developing efficient communications strategies
  • Able to understand how to communicate with different target audiences
  • Able to comprehend the key concepts of public speaking
  • Able to develop expositions which convey information successfully
  • Able to design academic presentations for effective and efficient communication
Course Contents

Course Contents

  • Analytics Communication
  • Data Visualization
  • Public Speaking
  • Academic Presentation
Assessment Elements

Assessment Elements

  • non-blocking Active participation
  • non-blocking Presentations and tasks completed during the classes
  • non-blocking Final presentation
  • non-blocking Final report
Interim Assessment

Interim Assessment

  • 2022/2023 1st module
    0.25 * Final report + 0.25 * Active participation + 0.25 * Presentations and tasks completed during the classes + 0.25 * Final presentation
Bibliography

Bibliography

Recommended Core Bibliography

  • Communication excellence: How to develop, manage and lead exceptional communications. (2017). Palgrave Macmillan. https://doi.org/10.1007/978-3-319-48860-8
  • Joosr Ltd. (2016). A Joosr Guide To... TED Talks by Chris Anderson : The Official TED Guide to Public Speaking. Hove: Joosr. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1460722
  • Yau, N. (2013). Data Points : Visualization That Means Something. New York: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=566405

Recommended Additional Bibliography

  • Data analysis and decision making with Microsoft Excel, Albright, S. Ch., 2009