Business Analytics

Hello!
I would suggest you to go for MBA in regular mode. Have a look over Lovely Professional University. LPU provides both regular and distance learning. Ministry of Human Resource Government of India Ranked Lovely Professional University No. LPU is the best university for pursuing MBA as it is Accredited by ACBSP (USA). LPU is Accredited by the Accreditation Council for Business Schools and programme (ACBSP). Well, looking at all professional institutions offering MBA degrees and diplomas in the country, the biggest factor that makes an institute a good or bad choice for MBA is its faculty, and next, the ideals upheld and followed by the institute. About the MBA course at Lovely Professional University, you need to SEE for yourself if the course will offer what you need. LPU has a very progressive culture and vibrant campus life which helps in bringing out every students best potential. To perform to ones best potential in an intensive course like MBA, the individual is required to be in a friendly and open-minded atmosphere where their peers and environments together provide space and opportunities for individual growth. LPU is where I completed my MBA and I would always recommend anyone I know to give it a try. Visit the campus sometime and the department, then you'll be able to decide better.

Business Analysis vs Data Science Difference #1: Definition
Put simply, the overarching goal of a business analyst is to help grow a business in a given market under certain conditions. They have a direct influence on critical financial decisions made in the company. They use data to create and change policies, improve productivity and stabilise systems. A data scientist, on the other hand, is responsible for collecting, processing and reporting findings from a massive data dump. Data scientists convert raw data into structured, meaningful silos which are then used to generate reports on trends or make forecasts. Business Analysis vs Data Science Difference #2: Analysis
A business analyst perceives data, insights and requirements from the perspective of the business and its overall operational systems. A data scientist observes and visualises the relationship between data in a database. While data analysts derive insights from data dumps, business analysts take what is needed to make the business function better and meet certain milestones. Both problem-solving roles are highly data-focused; the difference is that they enter at different stages of the operation and manipulate data to different goals. Business Analysis vs Data Science #3: Outlook
Business analysts are strictly organisation-centric, though their policies might have a national or global impact. They deal with strategies, alliances and networks a lot more than data scientists. The latter is more likely to be mathematicians and statisticians in their outlook, sifting through data to find salient patterns and outliers. Whether a finding is of significance to the business or not, is up to the business analyst. That said, the business analyst heavily relies on data scientists to collect and segregate data they can work with.