data science and analytics services xmediasolutions

Data science is an umbrella term for a group of fields that are used to mine large datasets. Data analytics software is a more focused version of this and can even be considered part of the larger process. Analytics is devoted to realizing actionable insights that can be applied immediately based on existing queries. 

                                                             

Data Science and Analytics is an interdisciplinary field that combines the magic of programming, mathematics, and business. It is important to understand which aspect are you interested in before selecting the right program for yourself. Think of it like this – businesses are continuously generating streams of unstructured data which can be converted into meaningful insights. A relevant example that comes to mind is OkCupid, the dating website. Its super popular blog xmedia solutions offered a unique brand of social analysis relying on statistics gathered from the site’s userbase. To convert this data to intelligence, one needs to be able to mine the data, analyze it and report it in an easy-to-understand manner to the decision-makers.

Data Analytics (as per my understanding) deals with gathering relevant data from a ton of data (including junk) generated by a business. This, then, becomes an extension of data warehousing and mining. This requires a solid understanding of SQL, Hadoop, Teradata, ETL, and real-time data processing tools, etc. This can be simply databases focused (in the case of MIS such as CMU BIDA) or go into deeper statistical computations (in the case of quant-oriented MS Analytics programs such as UIUC. The program includes fundamental training in mathematical and applied statistics as well as specialized training in data management, analysis, and model building with large datasets and databases.).

Data Science as a Computer Science field deals with the algorithms and programming that can enable one to work on such huge datasets. Relevant tools required to do this include R, Python, Excel(Advanced) with VBA macros, etc. Combined with Machine Learning, it can help identify a future trend that doesn’t exist today. This can be used to derive actionable insights for creating future impact. MS Data Science programs mostly cater to this.

On the other hand, combined with business understanding, these data insights can be presented into readable reports using which management can make better decisions about the business (again covered under MIS or MSBA programs). I associate this with Business Intelligence although individual terminology might differ.