Major Importance of Statistics In Data Science

1. Data Cleaning

Statistics helps in cleaning and filtering the data to remove any inconsistencies or inaccuracies in the dataset.

2. Data Exploration

Statistics helps in exploring the dataset by providing summary statistics.

3. Data Modeling

Statistics helps in building models that can predict future trends or behaviors based on historical data.

4. Data Analysis

Statistics provides methods for analyzing data, identifying patterns and trends.

5. Hypothesis 

Statistics provides techniques for testing hypotheses and making inferences.

6. Machine Learning

Statistics provides the foundation for many machine learning algorithms.

7. A/B Testing

Statistics provides methods for conducting A/B tests, which are commonly used in marketing.

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