Before you start off in the path of data science there are certain things that must be known well to you. Basically a data scientist helps a company achieve an advantage in competition by virtue of leveraging data. In the initial years of the emergence of Big Data there were attempts at labeling professionals according to the perceived corresponding job functions. However many were unsure about what exactly a data scientist will be doing.
- Who Are Big Data Specialists
There was also this notion that Big Data was something that may only be conducted by mathematicians with advanced knowledge, programmers with high amounts of specialization in addition to modelers of statistics.
- The Increase of the Scope for Data Scientists
The demand for data scientists of the traditional class continues to be healthy but the field has undergone a broad range of functions the reason behind which may be attributed to the scorching pace of technological advancement.
- What is Required out of Big Data Professionals
Jobs in the field of Big Data share a set of common requirements irrespective of the career path of your choice. In case you are wondering whether a career in the exciting world of Big Data is really for you would do well to consider the list that follows. You must be interested in or be experienced in the areas of:
- Analysis of Marketing
This is the way in which analytics are used so that a better understanding of the why's and the how's of the process of buying in order to drive up sales.
- Placement of Products
This involves the process of having you products or products being featured on T.V. and movies so that brand awareness and recognition be enhanced.
- Product Management
This refers to the process that is followed when commercial products are created.
- Foundational Skills in Relational Database Management Systems.
- NoSQL
The professional is aware of the various methods through which data may be accessed outside the scope of the programming of traditional SQL.
- Computing in the Cloud
Through this the utility of computing is leveraged through renting stored data and powers of computing, while paying for only what is needed and scaling the whole system according to demand.
- Informatics of Healthcare
Making use of data to better drive healthcare innovations.
- Statistics
Scrutinizing groups and collections of data for their analysis.
- Applied Mathematics
Practically applying mathematical concepts in the real world.
- Systems of Business Intelligence
This involves the creations of IT systems through which business users able to organize data in order to tap in to the information that lie underneath and support decisions related to business.
- Visualization of Data
Software that performs this function assimilates information and presents it in the visual medium so that it might be interpreted and analyzed.
- Migration of Data
This refers to the software tools that enable people in moving data in various systems structure it so that it may readily be utilized by the target systems.Prior knowledge in any of the fields mentioned above or a driving interest and passion regarding them should see you through in charting a career path in the new and exciting field. However a good course from an Analytics Training Institute of repute should serve you well.
Source : articlesbase.com
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