5 Job Skills Every Data Scientist Must Possess

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5 Job Skills Every Data Scientist Must Possess
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Introduction to Data Science

• The study of the source of information, what does
  this information represents and best possible way
  to turn it into useful resource to develop
  Business and IT strategies.
• Mines large volume of structured or unstructured
  data to study the patterns that assist
  enterprises to know market trends, improve
  efficiencies and become more competitive.
• Derive values from data observation and
  experimentation to validate and derive insights
  for betterment of the Business

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Role of Data Scientists
Data Scientists assist in turning raw data into
information. An experience in data analytics
proves extremely helpful
Data Scientist must possess a combination of
analytics, statistical, and data mining skills
along with experience in handling algorithms and
coding
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5 Skills Every Data Scientists Must Possess
Understanding of Basic Statistics
Machine Knowledge
Using the Basic Tools
Data Visualization and Communication
Software Engineering
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Understanding Of Basic Statistics

• Familiarity with statistical tests and
  maximization estimations is one of the important
  skills. All data-driven companies look forward
  to work on the data based on the statistical
  analysis.

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Machine Knowledge

• Awareness of the Machine Knowledge jargons is a
  need for becoming an efficient Data Scientist.
  Some of the terms are k-nearest neighbors,
  ensemble methods, random forests.

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Data Visualization and Communication

• The budding companies look for the Data
  Scientists who are good in Visualizing Data and
  Communicate well, for helping to make data-driven
  decisions.

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Using the Basic Tools

• Every Data Scientist is expected to know the use
  of basic tools of Data Science. These include the
  programming languages used to derive statistical
  data, such as R or Python or SQL as a database
  query language.

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Software Engineering

• Having a Software Engineering validation and
  relevant knowledge also turns helpful while
  choosing Data Science as a career domain, for
  implementing the tasks like data logging along
  with development of the data-driven products.

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