Data science Vs. Statistics

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DATA SCIENCE VS. STATISTICS
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Definition
DATA SCIENCE
STATISTICS
The gathering, characterization, analysis, and
drawing of inferences from quantitative data are
all tasks that fall under the purview of
statistics, a subfield of applied mathematics.
Data science is a branch of applied mathematics
and statistics that generates valuable
knowledge from massive quantities of complex
data, sometimes known as big data.
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Concept
STATISTICS
DATA SCIENCE
A strictly mathematical method is used with the
primary objective of determining the cause-
and-effect relationship in the studied data.
primary goal is to identify underlying trends
and patterns in a data for decision making
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Skill sets
ST T ISTICS
DATA SCIENCE
STATISTICS

• Requires a degree in data science or a similar
  subject along with a good understanding of
  different algorithms is expected
• Soft skills like teamwork, efficient
  communication and organisation, and
  problem-solving abilities are also important

Requires a degree in statistics or mathematics
Excellent mathematical skills with advanced
knowledge of calculus, linear algebra, and
probability are expected Communication skills
and strong planning skills are also required
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Skill sets
DATA SCIENCE
STATISTICS
Fluency in programming languages like Python, R,
C/C, Java etc. is also a must
Fluency in tools like Excel, SAS, SPSS, Minitab
etc. is essential for statistical analysis with
some basic knowledge of Python might be required
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Thank You!
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