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#Data Scientists 

Statistics

Information Science

Machine Learning

Computer Science

Mathematics

Data Science is one of the most sought after professional fields of the 21st century. It's an interesting and complex subject and requires good knowledge from the following fields:

Classification

Cluster Analysis

Data Mining

Databases 

Visualization

Predictive Modelling

F

EATURES

Accuracy & Precision

Legitimacy and Validity

Reliability and Consistency

Timeliness and Relevance

Completeness and Comprehensiveness

Availability and Accessibility

A

dvantages

Cost Saving 

Time Reductions

New Product Development 

Understand the Market Condition

Control Online Reputation

B

ENIFITS

Pro-activity and anticipating needs 

Mitigating Risk and Fruad

Delivering Relevant Products

Personalisation and Services

Optimizing and improving the Customer Experience 

Granularity and Uniqueness

There is a shortage of competent data science professionals. Some of the popular designations are CAO (Chief Analytics Officer, Data Architect, Statistician, Data Analyst, Data Engineer.

 

The designations are much more depending on application area and industry verticals. Industry verticals using data science include Banking, Financial Services, Insurance, Telecom, Retail, Consumer Goods, Manufacturing, Information Technology, Market Research, Healthcare, Travel, Logistics, Automotive and practically any business area we can think of. The job growth rate expected in data science field, according to various research studies, is over 40% per annum. The demand-supply gap of competent professionals is increasing every year.

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