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Regular version of the site
Bachelor 2019/2020

Analytics Communication and Management

Area of studies: Management
When: 4 year, 2, 3 module
Mode of studies: offline
Language: English
ECTS credits: 6
Contact hours: 52

Course Syllabus

Abstract

The discipline covers the important aspects of analytics communication and data visualization in the success of any companies nowadays. Modules of the course comprise communication’ strategy and tools, the origins, techniques and best practices of data visualization as well as the fundamental topics and key concepts of public speaking. Fundamentally, the key learning outcomes of the course refer to understanding efficient ways to convey information to the target audience.
Learning Objectives

Learning Objectives

  • Able to understand the steps for developing efficient communications strategies
  • Able to understand how to communicate with different target audiences
  • Able to demonstrate knowledge on the principles for data visualization
  • Able to develop charts, tables and other visual aids efficiently
  • Able to demonstrate basic knowledge on the use of Tableau Public
  • Able to develop expositions which convey information successfully
  • Able to develop expositions which convey information successfully
  • Able to design academic presentations for effective communications
Expected Learning Outcomes

Expected Learning Outcomes

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

Course Contents

  • Data Visualization
    This topic starts with a brief history of the Data Visualization, since the Early Maps and Diagrams to the current situation. Moreover, the three general principles of Data Visualization are explained as well as some digital tools are presented. Furthermore, the basic use of Tableau Public is taught
  • Analytics Communication
    This topic comprises the key concept and initial points of Analytics Communication as well as the main principles of how drive intelligence through an efficiently communication plan. The SELLING framework is also explained.
  • Public Speaking
    The concept and the common mistakes of public speaking are firstly presented. Moreover, the importance to share something significant – not only bringing a ‘nice’ presentation – is remarked. Storytelling, explanation’ ways and prior preparation are also explained
  • Academic Presentation
    This topic covers how to make, prepare and deliver academic speeches, such as Dissertation and Thesis defenses as well as Conferences’ presentations
Assessment Elements

Assessment Elements

  • non-blocking attendance of lectures
  • non-blocking presentations and tasks completed/presented during the seminar
  • blocking final presentation
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.15 * attendance of lectures + 0.4 * final presentation + 0.45 * presentations and tasks completed/presented during the seminar
Bibliography

Bibliography

Recommended Core Bibliography

  • Brath, R., Jonker, D. Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data. – Wiley, 2015. – 513 pp.
  • Rogala, A., & Bialowas, S. (2016). Communication in Organizational Environments : Functions, Determinants and Areas of Influence. London: Palgrave Macmillan. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1361910

Recommended Additional Bibliography

  • Acharya S., Chellappan S. Pro Tableau: A Step-by-Step Guide. - Apress, 2017.
  • Khan, A. (2016). Jumpstart Tableau : A Step-By-Step Guide to Better Data Visualization. [United States]: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1250591