An Introduction to Data Science

As “big data” become the norm in modern business and research environments, there is a growing demand for individuals who are able to derive meaningful insight from large, and complex datasets. Data science is an interdisciplinary and emerging field, which lies at the intersection of statistics, computer science, data visualization and the social sciences. This short course will discuss techniques, tools, and real world topics and case studies.

Time and location

Wednesday 10th of April - from 10.00-15 room PR126A (LINNANMAA) and

Thursday 11th of April - from 10.00-15 room TS126  (TIETOTALO, LINNANMAA)

University of Oulu



Ayse Bener is a professor in the department of Mechanical and Industrial Engineering of Ryerson University.

Organizer: Burak Turhan Ph.D., Adjunct Professor, University of Oulu

Tentative Outline and Schedule:

Day 1 (room PR126A):

 9:45-10.00 Morning coffee

10:00-11:30 Defining Data Science, vocabulary, raw data

11:30-11:45 Break

11:45-12:30 Data Munging, Wrangling, Cleaning

12:30-13:30 Lunch*

13:30-15:00 Exploratory Data Analysis


Day 2 (room TS126):

 9:45-10.00 Morning coffee

10:00-11:30 Machine Learning Algorithms based on real world topics and examples

11:30-11:45 Break

11:45-12:30 Statistical Models, Data visualization and communication

12:30-13:30 Lunch*

13:30-15:00 Discussion of data science domains and cases

*) Lunch can be bought at own expense from Restaurants Aularavintola and Datania.



This seminar is free-of-charge for member organization's staff and their PhD-students. For others the participation fee is 750 €. The participation fee includes access to the event and the event materials. Lunch and dinner are not included.


Doctoral students participating in the seminar can obtain two (2) credit points. This requires participating on both days and completing the assignments given at the seminar.