A person acting as a data scientist is required to possess certain skills that are important in mining the data. A data scientist must possess skills in mathematics expertise, technological expertise, and strategy acumen. The process of data science revolves around these skills. The data science requires blending of data interference, technology, algorithm development. A data scientist is provided with raw information called data. The data scientist must use their creativity to derive specific information required for generating business value from the pool of data. The data science institute in Mumbai educates people to achieve a professional data scientist certificate.
What do mathematics expertise in data science mean?
In the process of mining data insight and development of data product a data scientist must have quantitative thinking. The data may be co-related to each other; it may have different patterns and textures that need to be expressed in mathematical terms. A quantitative technique is required for finding solutions from the depth of the ocean of data. It would become easy to find solutions from data that requires the knowledge of mathematics. You never know, the mechanics used in data may help in finding the key to success.
What does technological expertise in data science mean?
A data scientist must have great hacking skills. Hacking does not mean that the data scientist must break into computers. Hacking in data science means ingenuity and creativity in using technological skills. It is necessary for a finding clever solutions to build business value. It is not possible to manually verify a pool of data. For that matter, a data scientist must use technology to wrangle data along with complex algorithms. A data scientist must possess expertise in coding and integration of complex data. They must have the ability to crack messy problems in order to make them solvable.
What does strategy acumen in data science mean?
It is very important that a data scientist has strategic skills to tackle complex business problems. A data scientist is given access to confidential business data and is allowed to observe them very closely. It makes for a big responsibility on the part of the data scientist to translate observations into knowledge. A data scientist upon conversion of observations into knowledge must formulate strategy to solve core problems related to business. A data scientist must have clear alignment of data science with business objectives. Click here for more info on data science.