The aim of the course is to provide students with an overview of important tasks related to projects in a business context. We will focus on defining projects, human aspects of projects management and IT tools (scheduling software, project extranets) used to support management, control and follow up projects as well as knowledge exchange. During the course the students will develop their skills of working as project managers.
The course can be taken by students from both Helsinki and Vaasa.
- Teacher: Patrik Paetau
This course provides an introduction to how data sources on the web can be utilized to gain insights relevant to decision-making in business and society. This covers learning the main steps and considerations that relate to acquisition, cleaning and formatting of data in preparation for analysis, and learning approaches to data visualization and reporting. The course combines practical data work with supporting readings from data science literature, facilitating introductory reflection over data-driven insight and decision-making. The course is built around use of Tableau for which support is exclusively provided, but deliverables building on data can also be completed by use of any other suitable software and syntax you may want to use (e.g. R, Python).
This course is one of the two courses in the Global competence module, mandatory for all master's degree students at Hanken who have started their master's studies 1.8.2018 or after.
- Teacher: Mikael Laakso
The aim of the course is to give fundamental insights and skills in programming applications and data analysis using the Python syntax. Python is a pivotal tool for performing the tasks in data analysis, business intelligence, machine learning, etc. The course, thus, provides a solid starting point to continue learning more advanced topics in business intelligence. During the course you will be writing your own business-related projects, resulting also in a better understanding of existing projects. Through the exercises you are trained to use modern programming approach for business-related problem solving.