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teaching:2020summer:prog [2020/06/29 16:10] ddoerr [Time table] |
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Data Science is an emerging interdisciplinary field with the aim to extract information from prevalently unstructured data. A basic skill for every data scientist is programming. | Data Science is an emerging interdisciplinary field with the aim to extract information from prevalently unstructured data. A basic skill for every data scientist is programming. | ||
- | This course sets out to introduce Python, a modern object-oriented programming language, to prospective data scientists. The class covers basic programming skills and provides an introduction to computer science. In the second part, Python libraries and tools are presented that are handy in the daily life of a data scientist, such as Jupyter Notebook, NumPy, Pandas, Matplotlib, Sklearn, and Pyspark. | + | This course sets out to introduce Python, a modern object-oriented programming language, to prospective data scientists. The class covers basic programming skills and provides an introduction to computer science. In the second part, Python libraries and tools are presented that are handy in the daily life of a data scientist, such as Jupyter Notebook, NumPy, Pandas, Matplotlib, Scikit-Learn, and Pyspark. |
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| 24.06.2020 | [[teaching:2020summer:prog:lecture08|Databases & Distributed Computing]] ({{teaching:2020summer:prog:slides08.pdf|slides}}) | {{teaching:2020summer:prog:exercises08.pdf|Ex08}} (PDF), {{teaching:2020summer:prog:exercises08.ipynb|Ex08}} (Jupyter NB), {{teaching:2020summer:prog:course_material_08.zip|course material}} | | | 24.06.2020 | [[teaching:2020summer:prog:lecture08|Databases & Distributed Computing]] ({{teaching:2020summer:prog:slides08.pdf|slides}}) | {{teaching:2020summer:prog:exercises08.pdf|Ex08}} (PDF), {{teaching:2020summer:prog:exercises08.ipynb|Ex08}} (Jupyter NB), {{teaching:2020summer:prog:course_material_08.zip|course material}} | | ||
| 01.07.2020 | [[teaching:2020summer:prog:lecture09|Advanced Programming]] ({{teaching:2020summer:prog:slides09.pdf|slides}}) | {{teaching:2020summer:prog:exercises09.pdf|Ex09}} (PDF), {{teaching:2020summer:prog:exercises09.ipynb|Ex09}} (Jupyter NB), {{teaching:2020summer:prog:course_material_09.zip|course material}} | | | 01.07.2020 | [[teaching:2020summer:prog:lecture09|Advanced Programming]] ({{teaching:2020summer:prog:slides09.pdf|slides}}) | {{teaching:2020summer:prog:exercises09.pdf|Ex09}} (PDF), {{teaching:2020summer:prog:exercises09.ipynb|Ex09}} (Jupyter NB), {{teaching:2020summer:prog:course_material_09.zip|course material}} | | ||
- | | 08.07.2020 | | -- | | + | | 08.07.2020 | [[teaching:2020summer:prog:lecture10|Algorithms & Complexity]] | -- | |
| 15.07.2020 | Exam || | | 15.07.2020 | Exam || | ||