The ultimate goal of the bootcamp is to cultivate strong data science skills with an emphasis on machine learning techniques to satisfactorily meet and exceed the requests of the Data science world. In the process, we will develop good habits for operating independently as data scientists and for operating as members of productive data science teams.
Having data science and machine learning skills nowadays can potentially increase your success chances, whether that be as an individual or a business. Many industries offer their employees the opportunity to enroll in upskilling programs. In that way, domain experts can leverage the knowledge in their given field and seek higher roles in their company. As the demand for data science skills rises higher and higher, having a rounded understanding of data science and applying that knowledge practically can help widen your scope of knowledge.
The workload for the course is approximately 5 - 7 hours per week, depending on prior knowledge.
Mehr Informationen finden Sie in den Richtlinien für Leistungsnachweise.
Mohamed has his Master's degree in the field of Communication Technology Engineering from the University of Ulm. He is now a Ph.D. candidate and part of the openHPI research team with a focus on auto-assessment of programming exercises in MOOCs. Mohamed is currently working on integrating Jupyter notebooks with openHPI to provide supportive learning environments. In his leisure time, Mohamed likes to go to the gym, watch football and travel the world.
Hendrik ist wissenschaftlicher Mitarbeiter im openHPI-Team mit dem Schwerpunkt auf videobasierte Lehre. Nach dem Wirtschaftsinformatikstudium hat es ihn erst in den Bankensektor gezogen, später in die Trainingsabteilung eines deutschen Maschinenbauers. Jenseits von Schneideprogrammen, Studiosetups und Trainingskonzepten ist er vor allem in der Boulderhalle zu finden.