Introductory Data Science for Managers and Business Leaders
Speaker
Dragan Vukmirović, Ph.D.
Dragan Vukmirović is a Full Professor of Belgrade University in the field of Statistics and E-business with more than a hundred of published scientific and research papers in the field of Statistics, E-business, Management, Big Data and Data Science. He participated in designing and implementing a lot of scientific-research projects, workshops and summer schools connected to these fields. At the moment, as a consultant in the field of Big Data, Data Science and Statistics, he is the team leader/key expert for the Technical Assistance project for New Era for Statistics programme – Central Finance and Contracts Unit (CFCU) within the Undersecretariat of Treasury of the Prime Ministry of the Republic of Turkey.
Topic:
Introductory Data Science for Managers and Business Leaders
Duration:
120 min.
Description:
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.
Expected tutorial outcomes:
- 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.