O slideshow foi denunciado.
Seu SlideShare está sendo baixado. ×

Data science & data scientist

Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Anúncio
Próximos SlideShares
Data Science
Data Science
Carregando em…3
×

Confira estes a seguir

1 de 8 Anúncio
Anúncio

Mais Conteúdo rRelacionado

Diapositivos para si (20)

Quem viu também gostou (20)

Anúncio

Semelhante a Data science & data scientist (20)

Mais de VijayMohan Vasu (17)

Anúncio

Mais recentes (20)

Data science & data scientist

  1. 1. Data Science and Data Scientist www.Cjayss.Com
  2. 2.  Data Science, Data Scientist and Big data is the sexiest area of opportunity of 21st century for companies and Technology users.  Data scientist is not just Mathematician or Statistics or Business Analysis or Technology.  A data scientist represents an evolution from the business or data analyst role. The formal training is similar, with a solid foundation typically in computer science and applications, modeling, statistics, analytics and math www.Cjayss.Com Data Science
  3. 3.  What sets the data scientist apart from normal Business Analyst or Technology folks is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.  Good data scientists will not just address business problems, they will pick the right problems that have the most value to the organization.  A data scientist is somebody who is inquisitive, who can stare at data and spot trends. It's an individual who really wants to learn and bring change to an organization www.Cjayss.Com Data Science Statistics Mathamatics Technology Business domain Data Scientist
  4. 4.  A data scientist will most likely explore and examine data from multiple disparate sources.  The data scientist will sift through all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem.  A data scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, then recommends ways to apply the data. www.Cjayss.Com Data Sources Examine DataCompetitive Collect Recommend Data Scientist
  5. 5.  Data Science is a vast discipline in itself, consisting of specialized skill-sets such as statistics, mathematics, programming, computer science and so on.  Data science consists of several elements, techniques and theories including math, statistics, predictive analysis, data modelling, data engineering, data mining, and visualization.  The purpose of Data Science is to extract and interpret data effectively and present it in a simple, non-technical language to the end users. www.Cjayss.Com Data Science
  6. 6.  Data Scientist practices the art and science of Data. The term of ‘Data Scientist’ become very popular in the 21st century.  Data scientists work with complex data problems with their strong expertise in certain scientific disciplines. Several elements related to mathematics, statistics, computer science, and other disciplines are part of the their expertise.  Data scientists need not be an expert in all the above mentioned disciplines but they should have knowledge of all the areas to deals with the Data Science. www.Cjayss.Com Data Scientist
  7. 7.  Data Science is not about finding solutions to the existing business problems but to identify solutions for the unidentified problems that are most crucial to the organization and its success.  The term “Data Scientist” become relevant considering the fact that a Data Scientist works with scientific tools from scientific fields and works with applications closely to statistics or mathematics.  Data Scientists works with latest technologies which are part of data technologies to find solutions to reach conclusions and provide insights into the unknowns of data. www.Cjayss.Com Data Science & Scientist
  8. 8.  Data Scientists job is to identify and present the data in a meaning form from the raw data available in the form of structured and unstructured data which is difficult to achieve through normal Data warehouse.  They re called Scientists because they research to finds answers through questions for What, How, Who and Why of the data.  Data Scientists are required to make a clear defined plan and work towards achieving the results within limited time, effort and money. www.Cjayss.Com Data Scientist

×