19302901
Lecture
WiSe 16/17: Data Science: Statistical Learning and Data Mining
Sebastian Müller
Additional information / Pre-requisites
This is a new course, contents may change. Besides the languages German and English, basic database and programming skills are obligatory.
Comments
This course will provide students with an introduction to Data Science in order to make sense of data at scale. The course material will not only provide the theoretical background of the techniques involved, but engage you to gain the practical knowledge of prototyping these solutions on problems yourself. Some of the topics covered will be: SQL, NoSQL, Statistics, Machine learning basics (Decision Trees, k-Nearest Neighbours, k-Means Classification, DBSCAN), Visualization, Graph Analytics. close
Suggested reading
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (01 November 2012) by Wes McKinney
16 Class schedule
Regular appointments
Fri, 2016-10-21 10:00 - 12:00
Fri, 2016-10-28 10:00 - 12:00
Fri, 2016-11-04 10:00 - 12:00
Fri, 2016-11-11 10:00 - 12:00
Fri, 2016-11-18 10:00 - 12:00
Fri, 2016-11-25 10:00 - 12:00
Fri, 2016-12-02 10:00 - 12:00
Fri, 2016-12-09 10:00 - 12:00
Fri, 2016-12-16 10:00 - 12:00
Fri, 2017-01-06 10:00 - 12:00
Fri, 2017-01-13 10:00 - 12:00
Fri, 2017-01-20 10:00 - 12:00
Fri, 2017-01-27 10:00 - 12:00
Fri, 2017-02-03 10:00 - 12:00
Fri, 2017-02-10 10:00 - 12:00
Fri, 2017-02-17 10:00 - 12:00