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IT Business Analyst

2023/2024
Учебный год
ENG
Обучение ведется на английском языке
3
Кредиты
Статус:
Курс обязательный
Когда читается:
2-й курс, 3 модуль

Преподаватель


Савинова Валерия Александровна

Course Syllabus

Abstract

The discipline is aimed at developing students' ideas about various types of analytical tasks in the process of designing information systems, including the economic aspects of information markets and their network structure, features of UX analytics, as well as developing skills in building a formal business model that takes into account actions and user expectations. The discipline is implemented in an online format and involves taking an online course from the list of recommended ones.
Learning Objectives

Learning Objectives

  • introduce students to various types of analytical tasks in the process of designing information systems
  • development of skills in building a formal business model in accordance to actions and expectations of users
Expected Learning Outcomes

Expected Learning Outcomes

  • Analyze requirements of category stakeholders
  • Knowledge and skills in developing project product requirements
  • Understand key terms in business analytics and role of business analyst in modern organizations
  • Be able to measure performance according to different approaches
  • Understand the capabilities of Social Network Analysis in business management
  • Know types of possible tasks in business analytica, solved by text mining
  • Be able to go through the whole analytical process from problem to the solution
Course Contents

Course Contents

  • Introduction to Business Analytics
  • Analytical Process: from Business Problem to Solution
  • Practical Applications
Assessment Elements

Assessment Elements

  • non-blocking Online course
    Online course “Business Analytics: Diversity of Practical Applications”
  • non-blocking Quiz
    final quiz based on online course materials and homework assignments
  • non-blocking Homework 2
    The second homework is to touch the basics of business analysis techniques. Business analysis techniques can include a range of methods, such as process modeling, data analysis, requirements gathering, and stakeholder analysis. They are essential to ensuring that businesses are able to adapt to changing market conditions, customer needs, and internal factors. For this task, students are required to choose a business analysis technique and provide an example of how it can be applied in practice during their presentation.
  • non-blocking Homework 1
    The first homework is focused on Elicitation\Gathering requirements techniques. In a software development scenario, solid elicitation abilities are a must have for a business analyst. Accomplishment is reliant on a combination of practical abilities and social abilities. Working professionals must be able to gauge which method to use and by what method can it be used apart from building associations and attaining accord. In Within this task students should choose a requirement-gathering technique and plan/design how it can be implemented in your work/project you are working on/master's thesis.
Interim Assessment

Interim Assessment

  • 2023/2024 3rd module
    0.2 * Homework 1 + 0.2 * Homework 2 + 0.5 * Online course + 0.1 * Quiz
Bibliography

Bibliography

Recommended Core Bibliography

  • Nabavi, M., & Olson, D. L. (2019). Introduction to Business Analytics. New York: Business Expert Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1922612
  • S. Christian Albright, & Wayne L. Winston. (2019). Business Analytics: Data Analysis & Decision Making, Edition 7. Cengage Learning.

Recommended Additional Bibliography

  • Jarrett Goldfedder. (2020). Building a Data Integration Team : Skills, Requirements, and Solutions for Designing Integrations. Apress.
  • Shmueli, G., Bruce, P. C., Gedeck, P., & Patel, N. R. (2020). Data Mining for Business Analytics : Concepts, Techniques and Applications in Python. Newark: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2273611

Authors

  • SUVOROVA ALYONA VLADIMIROVNA