Data Science for Business
Remus Racolta
Data & AI Transformation Lead
Remus Racolta is a Data & AI Transformation Lead, helping organizations make better, faster decisions through data-informed decision making.
Currently, he works as a consultant, offering CDO (Chief Data Officer) as a Service to companies seeking to unlock the value of their data. Previously, he co-founded Data Booster, an edtech startup specialized in customized data & AI literacy programs. Before that, he coordinated the Data & Advanced Analytics pillar for several projects under the Innovation stream at ING Hubs.
Remus is passionate about leveraging data and AI to drive business value.
Course syllabus
1
Why Data? Data Literacy Fundamentals
This module emphasizes the importance of data in decision-making, focusing on the data-informed decision-making framework to build a strong foundation.
2
Reading, Writing, and Communicating with Data
Deep dive into building data literacy by learning to effectively interpret, analyze, and visualize data
3
Data Science Use-Cases for Business
Explore practical applications of data science in business, such as sales forecasting, customer segmentation, and recommendation engines.
4
Data & AI Transformation
Gain a strategic understanding of the key pillars — People, Process, and Technology — for successfully implementing data and AI transformation projects
