Data Science

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models. The data used for analysis can be from multiple sources and present in various formats. Now that you know what is data science, let’s see why data science is essential in the current scenario.

Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you: Find the leading cause of a problem by asking the right questions Perform exploratory study on the data Model the data using various algorithms Communicate and visualize the results via graphs, dashboards, etc. In practice, data science is already helping the airline industry predict disruptions in travel to alleviate the pain for both airlines and passengers. With the help of data science, airlines can optimize operations in many ways, including: Plan routes and decide whether to schedule direct or connecting flights Build predictive analytics models to forecast flight delays Offer personalized promotional offers based on customers booking patterns Decide which class of planes to purchase for better overall performance

We are an educational conglomerate a perfect blending of innovations in education and building up values that transform young generation in to successful individuals the wealth of any nation. Involved in multifarious functions in the K-12 education, We have a network of global partners to address your needs from its bases in the UK, UAE, Qatar, Philippines, Malaysia, Singapore, US and India

In today's open educational marketplace, technology is the essential factor to differentiate your institution in the eyes of both candidates and donors. Your students expect a secure, technology-enhanced learning environment that simplifies access to high quality content and supports personalized attention.

Your faculty and staff need to communicate and collaborate with mobile flexibility that makes them reachable and lets them work at any location. Budgetary pressures mean you need cost-effective technology that can pay for itself over the short term, while securely handling increased data volume and applications and establishing a solid foundation for coming innovations.