WHAT IS DATA SCIENCE and WHY IS IT IMPORTANT?

Information is futile until its change into significant data. Information Science includes mining enormous datasets containing organized and unstructured information and recognizing stowed away examples to remove noteworthy experiences. The significance of Data Science lies in multitudinous purposes range from day to day exercises like asking Siri or Alexa for proposals to additional mind boggling applications like working a self-driving vehicle.

The interdisciplinary field of Data Science incorporates Computer Science, Statistics, Inference, Machine Learning calculations, Predictive Analysis, and new innovations.
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During this lecture we will discuss the aspects of building, maintaining, and operating data warehouses. Difference between database and data warehouse. Advantages and disadvantages of using a data warehouse. We will also speak about OLTP and OLAP systems and what is ETL. For More: http://elct.lnu.edu.ua/en/des-2021.html

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The passage highlights the significance of turning information into meaningful data through the field of Data Science. Information alone is futile until it is organized and processed, extracting valuable insights from large datasets, both structured and unstructured. Data Science involves an interdisciplinary approach, combining Computer Science, Statistics, Inference, Machine Learning algorithms, Predictive Analysis, and emerging technologies. The applications of Data Science are vast, ranging from everyday activities like using Siri or Alexa for recommendations to more complex tasks like operating a self-driving vehicle.

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