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Understanding these components of any data science project will help your organization integrate data science into your existing product development process.<br>https://nareshit.com/data-science-online-training/
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Components of Data Science https://nareshit.com/data-science-online-training/
Now we will discuss some of the key components of Data Science, which are: • Data • Programming • Statistics and Probability • Machine Learning • Mathematics https://nareshit.com/data-science-online-training/
Data The raw dataset lies at the core of Data Science, this raw data can be found in different forms like structured data which is mostly available in the form of tables and unstructured data which is available in the form of images, videos, pdfs, etc and is more difficult to handle. https://nareshit.com/data-science-online-training/
Programming In Data Science, the data is managed and analyzed by making use of computer programming. Several programming languages can be used for this purpose. https://nareshit.com/data-science-online-training/
Statistics and Probability We can manipulate the data in different ways to extract information out of it. In Data Science, Statistics and probability have a very important role to play. It provides a way to analyze the numerical data in a large amount and finding meaningful insights from it. https://nareshit.com/data-science-online-training/
Machine Learning Machine learning has a very significant role in the field of Data Science. It is the branch of artificial intelligence that aims to make the machines smarter by enabling the machines to learn from the data itself by training them using various algorithms. https://nareshit.com/data-science-online-training/
Mathematics Mathematics is one of the core components of Data Science. Various mathematical components help you to identify patterns in the data and then design algorithms accordingly. For becoming a Data Scientist, a good knowledge of mathematics is very essential. https://nareshit.com/data-science-online-training/
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