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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.
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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.
The 8 Basic Statistics Concepts for Data Science : 1. 2. 3. 4. 5. 6. 7. 8. Understand the Type of Analytics Probability Central Tendency Variability Relationship Between Variables Probability Distribution Hypothesis Testing and Statistical Significance Regression
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.
Importance of Statistics for Data Science: 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. After processing the data identify the right mathematical approach/model. Once the results are obtained the results are verified on the different accuracy measurement scales.
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