OS(ASSIGNMENT) part 5

                        DATA SCIENCE

Data science is a multidisciplinary field focused on extracting insights and knowledge from data. It combines elements of statistics, mathematics, computer science, and domain expertise to analyze complex datasets, identify patterns, and make data-driven decisions. Key components of data science include:

1. Data Collection and Cleaning: Gathering data from various sources and preparing it for analysis by cleaning and organizing it.

2. Data Analysis and Exploration: Using statistical methods and exploratory data analysis (EDA) to understand data distributions, relationships, and patterns.

3. Machine Learning and Modeling: Developing predictive and descriptive models that can make accurate forecasts, classify data, and find patterns.

4. Data Visualization: Creating visual representations, such as charts and graphs, to make findings easily understandable and actionable.

5. Communication and Decision-Making: Presenting results to stakeholders in a way that helps them make informed decisions.


Data science is widely used across industries like finance, healthcare, retail, and tech to help organizations make informed decisions, optimize processes, and innovate based on data insights.


PART 4



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