Business Analytics 1

Recommended prerequisites: The students are expected to have completed courses ISM-A1002 "Johdatus data-analytiikkaan" ("Introduction to data analytics") and 30A02000 "Tilastotieteen perusteet" ("Introduction to statistics"), or obtained equivalent skills from other university level courses. These skills include basics of linear algebra, multivariate functions, matrixes, vectors, probability, random variables as well as good Excel skills. Previous experience in programming with some modern language (Python, R, Java) will be useful.

Business Analytics refers to the use of quantitative models to help make better business decisions. This course focuses on mathematical optimization models that are commonly used in business applications. After the course the student can (i) recognize the types of real-world business decision problems where use of these models brings added value, (ii) interpret results of these models to derive defensible decision recommendations, and (iii) build and solve these models using relevant software to support business decision making.

Teaching Language: English

Teaching Period: 2024-2025 Autumn II
2025-2026 Autumn II