| Language of instruction : English |
| Credits: 6,0 | | | | | Period: semester 1 (6sp) | | | | | 2nd Chance Exam1: Yes | | | | | Final grade2: Numerical |
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Sequentiality
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No sequentiality
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The student can search for relevant information on the internet when acquiring new IT-skills and use these sources to improve their skill level.
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Efficiently managing, manipulating, and interpreting data has become a crucial skill for modern-day managers. In this course, we will start from the basics of what data is and which datatypes exist. From there, we quickly move forward towards various techniques to model, prepare, describe and visualize the content of different types of datasets. This course acts as a foundational course to other more advanced data-related courses.
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Lecture ✔
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Response lecture ✔
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Small group session ✔
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Period 1 Credits 6,00 Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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| Compulsory textbooks (bookshop) |
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Textbook 1:
Statistics for Business and Economics, David Anderson, Dennis J. Sweeney, Thomas Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, James Freeman, Eddie Shoesmith, 6th Edition
ISBN: 9781473791350 |
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| Recommended course material |
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Dit opleidingsonderdeel maakt gebruik van DataCamp For The Classroom, aangeboden door DataCamp (www.datacamp.com) |
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Learning outcomes | | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
| Offered in | Tolerance3 |
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Bridging Programme Master of Management
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N
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Exchange Programme Business Economics
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J
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Preparation Programme Master of Management
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N
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.15.1, section 3. |
3 Education, Examination and Legal Position Regulations art.16.9, section 2.
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