Data Science is probably the hottest buzzword of the 21st century. Nowadays, companies as well as governments have equal interest in data science. Data science is a combined study of various topics together including: databases, warehousing, data architectures, business analytics, data mining, big data and more! As a matter of fact, data science supports – if not compliments - business intelligence.
From being an executive support tool, Business intelligence (BI) has changed its role to be the primary cross-functional system implemented in almost all medium and large companies to support the decisions made at all management levels. Additionally, BI tools and techniques are also used to support the day-to-day operations in various organizations.
This course is designed to provide participants with a mix of theory and practice. Basic concepts of data science will be presented as foundation, as well as R Programming as one of the most important skills/tools that a data scientist should have. The course will also provide an opportunity for hands-on experience with data science tools and techniques through using easy-to-use software (R Programming) and cases.
You will learn:
- The basic foundation of data science
- Hands-on tools such as R-programming
- Business intelligence applications
The goal of the course is the understanding of the new domain in terms of basic concepts, technology used, as well as context of using. Additionally, you will learn how to run and manage a big data project.
Active study of real cases between the two blocks.