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STATISTICS
Definition Statistics is a form of mathematical
analysis that uses quantified models and
representations for a given set of experimental
data or real- life studies. The main advantage of
statistics is that information is presented in
an easy way.
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The 8 Basic Statistics Concepts for Data Science

• Understand the Type of Analytics Probability
• Central Tendency Variability
• Relationship Between Variables Probability
  Distribution

1. 2. 3. 4. 5. 6.

1. Hypothesis Testing and Statistical Significance
2. Regression

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Role of Statistics
Statistics is foundational to Data Science ,
there is strong relationship between these two
fields. Statistics is one of the most important
discipline that provide tools and methods to find
structure and give deeper insights into data.
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Importance of Statistics for Data Science
Identify the importance of features by using vario
us statistical tests. Finding the relationship bet
ween features to eliminate the possibility of
duplicate features. Converting the features into t
he required format. Normalizing and scaling the
data. This step also involves the identification
of the distribution of data and the nature of dat
a. Taking the data for further processing by using
required adjustments in the data. A f t e r p r
o c e s s i n g t h e d a t a i d e n t i f y t h
e r i g h t m a t h e m a t i c a l a p p r o a
c h / m o d e l . Once the results are obtained t
he results are verified on the different
accuracy measurement scales.
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Thank you
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Pune. The course module includes statistics
mathematics as well. For more information, visit
https//www.learnbay.co/data-science-course/data-s
cience-course-in-pune/