Introduction to Data Science
Data science is a multidisciplinary field that combines mathematics, statistics, programming, and domain knowledge to extract meaningful insights from both structured and unstructured data. The role of a data scientist encompasses a wide range of tasks from data collection to model deployment, facilitating informed decision-making across various industries. The data science workflow involves several crucial phases including problem definition, data cleaning, exploratory analysis, modeling, and deployment.
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1.1Description
What we have learnt
- Data science combines various disciplines to extract insights from data.
- The role of a data scientist includes data manipulation, model building, and communication of results.
- Data science has impactful applications in multiple sectors such as healthcare, finance, and e-commerce.
- The data science lifecycle consists of several steps from identifying a problem to monitoring deployed models.
Key Concepts
- -- Data Science
- A field that uses techniques from statistics, mathematics, programming, and domain knowledge to analyze and model data.
- -- Data Scientist
- A professional skilled in data manipulation and analytics, tasked with interpreting complex datasets to derive actionable insights.
- -- Data Science Lifecycle
- The comprehensive process that data scientists follow, including problem definition, data collection, cleaning, exploratory analysis, modeling, evaluation, deployment, and continuous monitoring.
Additional Learning Materials
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