Introduction to Data Science

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data science is the same thing as data mining and big data: “use the most strong hardware, the most efficient algorithms and the most powerful programming systems, to find solutions”.

Business Intelligence (BI) Developer

BI developers design and develop strategies to assist business users in quickly finding the information they need to make better business decisions. Extremely data-savvy, they use BI tools or develop custom BI analytic applications to facilitate the end-users’ understanding of their systems.

Data Architect

Ensure data solutions are built for performance and design analytics applications for multiple platforms.

Applications Architect

Track the behavior of applications used within a business and how they interact with each other and with users.

Infrastructure Architect

Oversee that all business systems are working at optimally and can support the development of new technologies and system requirements. A similar job title is Cloud Infrastructure Architect, which oversees a company’s cloud computing strategy.

Enterprise Architect

According to Whataftercollege, an enterprise architect, “Works closely with stakeholders, including management and subject matter experts (SME), to develop a view of an organization’s strategy, information, processes and IT assets.”



Data Science is a buzzword in the technology world right now and for good reason, it represents a major step forward in how computers can learn. The need for Data Scientists is high in demand and this surge is due to evolving technology and generation of huge amounts of data aka Big Data.