Workshop: Introductory Data Science for Managers and Business Leaders
Where & When: 17th International Symposium SymOrg 2020, Zlatibor (June 08 – 10, 2020)
Duration: 120 min.
Introduction: Information Revolution, Big Data, Data Science, Predictive Analytics, Artificial intelligence.
Current economic, social and technological trends beyond the Industrial Revolution. Digital transformation. The Fourth Paradigm: Data-Intensive Scientific Discovery. Understanding the big data landscape: challenges, technologies, and trends. What is Data Science and how you can use it to strengthen your organization. The definition of Data Scientist, Business Analytics and Artificial Intelligence.
The Data Science workflow. Data collecting: data sources. Data analysis: data type, unstructured data, cleaning, transformation and data presentation, missing data, extreme values (outliers). Data storage and retrieval.
Predictive Analytics. Basic definitions of Machine Learning (supervised and unsupervised), Natural Language Processing, Time Series, Deep Learning, Explainable and Inexplicable AI. Dashboards.
Automated Data Science. Solution for smaller and less technical organizations to have access to Data Science without building out their own team.
Building a Data Science team. Agile approach.
A Review of Future and Ethical Perspectives of Data Science, AI and Blockchain. The hottest trends of integrating data into the core business processes.
Case studies: Applications of Data Science.
- Acceptance an easy-to-understand Data Science concept.
- Preparation for the AI revolution and the solving of real life and business problems by implementing a data science concept – creating value through data.