A statistics uses quantitative models and representations to analyze data sets gathered from experiments or real-life studies. One of the main benefits of statistics is that it presents data in a simple and straightforward manner. In Data Science, Statistics is the foundation, and the two fields have a strong relationship. Among the most important disciplines in the study of data is statistics, which offers tools and methods for finding structure and gaining deeper insights into data. want to learn and make career in data science visit Data science course in pune.
1. 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.
STATISTICS
Definition
2. Understand the Type of Analytics
Probability
Central Tendency
Variability
Relationship Between Variables
Probability Distribution
Hypothesis Testing and Statistical Significance
Regression
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The 8 Basic Statistics Concepts for Data Science :
3. 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.
4. Identify the importance of features by using various statistical tests.
Finding the relationship between features to eliminate the possibility of
duplicate features.
Converting the features into the required format.
Normalizing and scaling the data. This step also involves the identification of
the distribution of data and the nature of data.
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 the results are verified on the different
accuracy measurement scales.
Importance of Statistics for Data
Science:
