1 / 14

Why you should learn about Data Science @WU?

Discover the importance of data science in today's job market and learn about the Data Science specialization program at WU. Explore the skills and knowledge needed for a career in this field and find out how to enroll in the program.

hollycolon
Télécharger la présentation

Why you should learn about Data Science @WU?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. WhyyoushouldlearnaboutData Science @WU? Dr. Sabrina Kirrane, Prof. Axel Polleres, Institut for Information Business, WU Find theseSlides at: http://polleres.net/presentations/ Stand: Juni 2017

  2. WhyyoushouldlearnaboutData Science @WU? 22.05.2015 https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century "50 Prozent glauben, dass Technologieriesen wie Google mit ihrer Big-Data-Kompetenz künftig in direkte Konkurrenz zu den angestammten Consultants treten." https://hbr.org/2018/11/the-kinds-of-data-scientist

  3. Was denken unsere Studierenden? https://www.facebook.com/wu.wirtschaftsuniversitaet.wien/photos/a.151406758221539.26987.147250285303853/1043735715655301/?type=3&theater

  4. Big Data Usecasesandskillsrequirements: • Big Data ascorebusiness: Googledoes not hireanybodywithout IT-knowledge • Apple: fromhardwarecompanytodatacompany • Red Bull: Marketing increasinglyrequires Data Science • BMW: Supply-Chain, Intelligente Produktion, in-car-Technologie (car-to-car communication,...), etc. • UN: Oneofthebiggestprovidersof Open Data, Disaster & Crisis Management, etc.

  5. Example: Open Data as a global trend:(=machine-readable, freely re-usable data on the Web) • Cities, International Organizations, National and European Portals, Int'l. Conferences: please also visit http://data.wu.ac.at

  6. Need for Big Data & Data Science Specialist • McKinsey • American labormarket • 2018: 290.000 – 340.000 newjobs • Gartner Research • Global labormarket • Estimated 4,4 millionnewjobs • E-Skills UK: • UK labormarket • 49.000 Big Data Specialists • 260.000 newjobs in the Big Data area Source: "Big Data Analytics -An assessmentofdemandforlabourandskills, 2012-2017" (eSkillsuk, 2013)

  7. Need for Big Data & Data Science Specialist • In themeantime… https://www.techrepublic.com/article/the-10-most-in-demand-ai-jobs-in-the-world/ February 5, 2019

  8. What is the new thing about Data Science? Die Schlüsselposition „Data Scientist“ ist fürUnternehmen da, wo innovative neue Lösungenentwickeltwerdenmüssen, abseits des „Tagesgeschäfts“. http://www.ocg.at/sites/ocg.at/files/medien/pdfs/OCG-Journal1503.pdf#13

  9. A new Job type Adaptiert/ergänzt, Quelle: "Assessingthedemandfor Big Data andAnalytics Skills 2013 – 2020" (Forfás, 2014)

  10. Trend tonewjobdescriptions • Data Science is also becoming important on the Exectutive level!

  11. Data Science SBWL:https://www.wu.ac.at/en/infobiz/teaching/sbwl-data-science/ • Interdisciplinary! International! • 6 Institutes: Information Business, Production Management, New Media, Statistics & Mathematics, Marketing, Business Law • all courses taught in English • 5 Courses (PI 2.0) : • SBWL DS 1: Data Processing 1 • SBWL DS 2: Data Analytics • SBWL DS 3: Data Processing 2: Scalable data processing, Legal & Ethical foundations of data science, Open Data • SBWL DS 4: Applications of Data Science (Production Management, Supply Chain, Marketing, Process Management..) • SBWL DS 5: Data Science Lab, in collaboration with real data providers:

  12. Data Science SBWL: Organisationhttps://www.wu.ac.at/en/infobiz/teaching/sbwl-data-science/ • Requirements: • Willingness & Fun to work “hands-on” with data! • Learn the most popular Data Science tools • Willingness to work in teams and interdisciplinary! • Willingness to solve (data) problems! • Qualification to enter the SBWL: Register for the entry test/tutorials via LPIS!!! • Entry Test 13th of September (Tutorials: 9th & 10th of September) or • “Green Card” • Avg. 1,5 among the following 3 courses: • Grundzüge der Programmierung, • Datenbanksysteme, • Einführungi.d.Statistik Note: even if you qualify for a green card, do register for the entry test/tutorials on LPIS!  counts as registration of interest to the SBWL

  13. Data Science SBWL: Organisationhttps://www.wu.ac.at/en/infobiz/teaching/sbwl-data-science/ • Schedule: - Next cohort:

  14. Data Science SBWL: Organisationhttps://www.wu.ac.at/en/infobiz/teaching/sbwl-data-science/ Questions? Looking forward to seeing many of you in October! All further info on our Webpage: • dates • contact • description https://www.wu.ac.at/en/infobiz/teaching/sbwl-data-science/

More Related