Creation of personalized promotional offers to direct a higher amount of traffic to booking portals- based on individual booking patterns.Route planning and flight scheduling - i.e., whether the flight will be connecting or direct.For example, the aviation industry uses data science to predict any shortcomings in its services and make flying a seamless experience for all its customers.

Data scientists take the raw data as the input and transform it into easy solutions to business queries. Today, finding the root causes for any issue has become quite easy with developments in this field. Instrumental aspects of this field include the task of collating past and present data to predict future performance and potential. The position has come to play an important role in almost all business sectors, including primary, secondary, and service sectors. The demand for data scientists is quite high. When you learn Data Science, it enables you to improvise the decision-making process and even better renders the pattern of discovery and predictive analysis.

Whether it is data utilization or management tasks, there are endless avenues in which new applications of this field are regularly developing.

Data Scientist vs Data Analyst vs Data Engineerĭata Science plays a prominent role in this era of cloud-based business.

Here are the topics covered in the Data Science tutorial:

Basic data science course