Statistics
Statistics is a branch of mathematics that focuses on collecting, organizing, analyzing, interpreting, and presenting data. It helps turn raw data into meaningful information and supports decision-making based on evidence.
In data science, statistics is used to understand patterns, relationships, and trends within data. It includes methods such as descriptive statistics (mean, median, mode, and standard deviation) and inferential statistics (hypothesis testing, correlation, and regression).
Statistics plays a vital role in analyzing both structured and unstructured data, measuring uncertainty, and validating results. It is widely applied in fields such as business, healthcare, education, and web analytics to make accurate and reliable conclusions.
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Understanding statistics is a foundation for success in Data Science and analytics — it helps you turn raw data into meaningful insights and make smarter decisions. Whether you want to master descriptive statistics, inferential methods, probability, or regression techniques used in real projects, strong statistical knowledge is essential for real-world data work.
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