Getting Started with Data Science – Key Metrics and Insights
According to Harvard Business Review in 2012, data scientists were perceived to have the “sexiest job of the 21st century”. Data scientists can read, visualize and make sense of millions of generated data and thus help their companies to find the best strategies in their industry.
This openSAP course, Getting Started with Data Science, introduced our learners to fundamentals of data preparation, predictive modeling, and their deployment and maintenance in a business environment.
Data science is a complex subject, but discovering how the algorithms can add value to a business contributes to demystifying such processes and shows ways to cope with them efficiently.
“I designed this openSAP course to introduce anybody who is new to data science to the fundamental ideas, without the complexity and incomprehensible formulas that so often turn students away. The course follows a clear data science project methodology, so there is an understandable structure and flow through the six weeks of presentations and exercises.”, said Stuart Clarke, principal consultant with Global Consulting Delivery, Analytics and Insight at SAP.
The course is now finished and I would like to provide some key statistics to you. I would also like to share some feedback from participants, posted in the discussion forum in our “I like, I wish” section of this course.
On average 92.9% of our learners were professionals and the age distribution shows a clear peak around the 30-year-old age group. The age distribution covered a span of 17 to 73 years.
98% of survey participants were very satisfied with the course content, and 94% confirmed the relevance of the skills taught. In addition, almost 100% of the participants plan to take additional openSAP courses in the future. We are glad to see how helpful this course was for the participants’ current or future tasks.
We achieved a NPS of 48.7%, which underlines the high degree of learner satisfaction. Find out more about the Net Promoter Score (NPS) on Wikipedia.
The participants were engaging in the discussion forum, as we received and responded to 1,629 posts. The hundreds of questions we received indicated that for some students, this was an introduction to a totally new subject. For others, who are obviously experts themselves, they were checking out what SAP could offer. And for a few, this was a first step to changing their career and becoming a professional data scientist. The collaboration throughout the course was impressive and added to the success of the course!
Thanks for taking part and stay tuned to openSAP for further topics related to data science.