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Basic Statistics for Data Analysis (2 cr)

Code: C-10065-XX00FW27-3001

General information


Enrollment
01.08.2025 - 28.07.2026
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Timing
01.08.2025 - 31.07.2026
The implementation has not yet started.
Number of ECTS credits allocated
2 cr
Local portion
2 cr
Mode of delivery
Blended learning
Institution
Metropolia University of Applied Sciences, Leiritie 1
Teaching languages
English
Seats
0 - 50
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Evaluation scale

0-5

Content scheduling

Content periodicity instructions here.

Objective

The student understands basic statistical analysis methods and how they are applied to real world business situations. The student understands how to use data to gain meaningful insights and hidden information. The student understands the fundamentals of statistical analysis and is able to analyze data and apply appropriate statistical techniques.

Content

- Measures of central tendency - Measures of the spread - Variables and levels of measurement - Frequency tables - Graphs and shapes of shapes of distribution

Location and time

100% Online

Materials

All learning material will be provided in Moodle.

Teaching methods

This is an online course with video presentations and practical walkthrough videos. The course's learning environment is Moodle - an email with instructions on how to access the learning environment will be sent to students one week before the course starts. The course work is completed by each student individually.

Employer connections

Internship and working life connections instructions here.

Exam schedules

The student will be graded on their performance in the quizzes that are available as part of the course, in Moodle.

Pedagogic approaches and sustainable development

International connections instructions here.

Completion alternatives

Alternative methods of completion instructions here.

Student workload

The course comprises of 10 videos of about 30 minutes each. The time taken to complete the quizzes is at the student's own discretion.

Evaluation methods and criteria

Below 50%- Fail Grade 1: 50-59% Grade 2: 60-69% Grade 3: 70-79% Grade 4: 80-89% Grade 5: 90-100% The quizzes are self grading and students will get the opportunity to do each quiz three times if they would like to improve their grade. Only the highest grade per quiz will be considered.

Qualifications

no pre-requisites

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