Data Science

Data Science is an interdisciplinary field that uses various techniques, algorithms, processes, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, mathematics, computer science, and domain expertise to analyze and interpret complex data sets.

What is Data Science ?

Data Science is an interdisciplinary field that uses various techniques, algorithms, processes, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, mathematics, computer science, and domain expertise to analyze and interpret complex data sets.

Specialization
Data Science

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01
Data Warehouses and Data Lakes

Data Warehouses and Data Lakes are both systems used for storing and managing large volumes of data, but they serve different purposes and have distinct characteristics. Below is a detailed comparison of the two.

02
Real-Time Streaming Analytics

Real-time streaming analytics is the continuous processing and analysis of data streams as they are created, allowing organizations to derive insights and take action in real-time. This approach is crucial for applications that require immediate decision-making based on current data, enabling businesses to respond to events as they happen.

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Frequently Asked Questions ?
What skills are needed to become a Data Scientist
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What tools and technologies are commonly used in Data Science?
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What is the difference between Data Science and Data Analytics?
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What is the difference between Data Science and Data Analytics?

Common applications include fraud detection, customer segmentation, recommendation systems, predictive maintenance, and natural language processing (NLP).

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