Skip to main content
HARESEARCH CONSOLE
Editorial ServiceInformation Processing & ManagementBlogPublic Responds to Scientific Mis- and Disinformation on YouTubeJournal PapersBroad in legal scope, selective in policy design: A five-dimensional document analysis of Finland’s 2025 integration reformMedia & EngagementWhy Look Behind the Language of Integration Policy?Teaching[Un]reliable Science MOOC — Scientific Retractions and Public Circulation
Portfolio Scholar

Course Syllabus

Data Analytics & Statistics in Python

2025· Metropolia University of Applied Sciences· 1 min read ·0 comments ·0 reactions
Return to Teaching Portfolio and Pedagogical Practice
Data Analytics & Statistics in Python
Authors / roleHamed Ahmadinia · Course syllabus
Venue / institutionMetropolia University of Applied Sciences
Date / period2025-03-05
Record typeCourse instructor · Bachelor and Master levels · 3 ECTS
InstitutionMetropolia University of Applied Sciences
LocationHelsinki, Finland
Topic / fieldCourse design and teaching
Participants / students0
LanguageEnglish
Format8-session course
Academic levelBachelor’s; Master’s
Credits3 ECTS
ABSTRACT

Designed and delivered eight sessions for Bachelor and Master of Engineering students covering Python, NumPy, Pandas, descriptive and inferential statistics, probability, regression, correlation, visualisation, predictive analytics and a final mini-project.

Designed and delivered eight sessions for Bachelor and Master of Engineering students covering Python, NumPy, Pandas, descriptive and inferential statistics, probability, regression, correlation, visualisation, predictive analytics and a final mini-project.

Data analyticsProject-based learningPython
READER REACTIONS

How did this post land with you?

DISCUSSION

Reader comments

0 comments

Loading comments…

Join the discussion

Your email address is never published. Comments may be held for moderation.

Return to Teaching Portfolio and Pedagogical Practice
© 2022-2026 Hamed Ahmadinia All Rights Reserved