{"id":2491,"date":"2020-06-09T08:53:27","date_gmt":"2020-06-09T08:53:27","guid":{"rendered":"https:\/\/www.isbr.in\/blogs\/?p=2491"},"modified":"2021-04-14T08:53:27","modified_gmt":"2021-04-14T08:53:27","slug":"stop-settling-down-for-one-when-there-are-dual-specializations-available","status":"publish","type":"post","link":"https:\/\/www.isbr.in\/blogs\/stop-settling-down-for-one-when-there-are-dual-specializations-available\/","title":{"rendered":"Stop settling down for one when there are dual specializations available"},"content":{"rendered":"

In order to answer and solve business problems, we need Data Science and Business Analytics. Both Data Science & Business Analytics involves gathering data, modeling, and insight gathering. The basic difference between them is that Data Science answers questions like customer preferences, seasonal factors, and geography influence, whereas Business Analytics is particular to business-related issues like profits, cost, etc.\"\"<\/p>\n

Data Science<\/strong> is a field that uses big data, statistical techniques and the latest technology to address the various important business issues such as correlations and patterns. Implementing data science in an organization helps to increase efficiency and create a strategy for newer and better business opportunities.<\/p>\n

Business Analytics<\/strong> focuses on the same tools as with data science to make business decisions and enforce practical changes in a company. Implementation of business analytics helps identify the loopholes in existing regulations\/ procedures and come up with business strategies to drive the company forward in an efficient way.<\/p>\n

Both data science and business analytics are vital for an organization\u2019s growth. The rewards of either business analytics career or data science career are extremely fruitful and there are various institutes that offer Masters or PGDM courses in both career fields. One such B-School is ISBR Business School that offers dual specialization under one program: PGDM in Data Science & Business Analytics.<\/p>\n

There are two famous jobs in this field and once you complete the program, you get the chance to decide whether you want to become a business analyst or a data scientist\/analyst.<\/p>\n

Career in Data Science<\/strong><\/p>\n

Data scientists generally work on the front end and develop technical skills in the area of collecting data and analyzing it. They design and execute algorithms to analyze the collected data, develop, and deploy them.<\/p>\n

Data scientists must focus more in areas such as machine learning and mathematics. They eventually become adept in coding the algorithms used for predictive analysis and to identify data trends. For instance, how a specific demographic statistics like age and location of customers affect how much they might spend.<\/p>\n

Career in Business Analysis<\/strong><\/p>\n

Business analysts extract information from structured and unstructured data, and use this data in understanding the past performance of an organization, what it currently is doing and what needs to be done to improve the future performance.<\/p>\n

While the job of a business analyst is to focus on finding trends in data and developing ways to use that information to improve a company\u2019s performance, data scientists are more focussed at finding what drives those trends.<\/p>\n

The importance of data analysis to businesses is huge. A host of job openings are available for those specialized in business analytics. And if you have knowledge in both data science and business analysis, it is an added advantage to your career.<\/p>\n

Below are some of the benefits of having dual specialization over a single:<\/strong><\/p>\n