Data Analysis and Big Data as Business Development Tools (3 ECTS)
Code: C-02630-NN00HC13-3001
General information
- Enrollment
- 15.03.2024 - 30.06.2024
- Registration for the implementation has ended.
- Timing
- 06.05.2024 - 31.07.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 3 ECTS
- Institution
- Tampere University of Applied Sciences, TAMK Pääkampus
- Teaching languages
- Finnish
- Seats
- 0 - 15
- Course
- C-02630-NN00HC13
Learning outcomes
After completing the course, the student understands the importance of data and its analysis for business. The course introduces students to the most important statistical methods using the Python programming language and introduces them to Big Data as a concept, the internet data sources that produce it, and its analysis in the form of visualization and text analysis.
Content
1. Data analytics, business analytics, statistics, statistics, probability, risk 2. Application of statistical methods and production of graphs in the Python programming language 3. Familiarity with Big Data and the sources of information that produce it 4. Familiarity with Big Data analysis; visualization, text analysis
Prerequisites
Basics of programming
Teaching methods
Virtual implementation on the TUNI Moodle learning platform, https://moodle.tuni.fi. Includes learning material, program examples, analysis examples, exercises, instructional videos, and two webinars.
Location and time
Summer implementation, in network.
Learning materials and recommended literature
All in Moodle platform.
Alternative completion methods of implementation
N/A
Internship and working life connections
N/A
Exam dates and retake possibilities
N/A
International connections
N/A
Student workload
80 h of student's work.
Assessment methods and criteria
Fail: Score less than 60% of maximum. Pass: Score at least 60% of maximum.
Evaluation scale
Pass/Fail