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Root number
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484794 |
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Semester
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HS2024 |
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Type of course
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Lecture |
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Allocation to subject
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Business Administration |
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Type of exam
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Written exam |
| Title |
Data Science for Organizations |
| Description |
Today, as data flows abundantly in and out of firms, the ability to generate actionable insights from such data is a valuable competitive advantage for businesses. Data Science, the emergent and evolving profession that makes generating such insights possible, has been described by Harvard Business Review as the sexiest profession of the 21st century. As such, the demand for data scientists has been booming in many organizations. However, much of what data scientists do has been shrouded in mystery. Therefore, this course aims at familiarizing students with what is being a data scientist in the business environment and how one can identify themselves as a data scientist. Students can attain the required knowledge on different aspects of data science and its implications for business.
As part of the course, students will acquire skillsets that will help them understand what is exactly that a data scientist does and how their work helps organizations in making more effective decisions.
The course will be taught in person and includes two types of sessions:
Lectures: Students will be introduced to different concepts, methods, and applications. They will gain useful insights required for hands-on experiences in the workshop sessions.
Workshops: There will be sessions in which students will be introduced to scenarios, and they will be engaging in discussions on data, analytical approaches, and, most importantly, implementing the analysis using Python.
No preliminary programming knowledge is required. Students will gain the necessary skills in the workshops. It is necessary that students use their personal notebooks for the workshop sessions. Attendance and active participation of students in both lectures and workshops are highly recommended. Students also need to be willing to dedicate some time of their own to successfully accomplish the required tasks of this course. |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Panda Kumar Sachin, Institute of Information Systems, Information Engineering ✉
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ECTS
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6 |
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Recognition as optional course possible
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No |
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Grading
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1 to 6 |
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| Dates |
Friday 08:15-12:00 Weekly
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Tuesday 7/1/2025 16:30-18:00
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Thursday 6/2/2025 09:15-10:45
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| Rooms |
Hörsaal 2 002, Engehalde, E8
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| External rooms |
E8, 002
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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