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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