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To find insights concealed in an organization's data, data science integrates specialized programming, advanced analytics, artificial intelligence (AI), machine learning, and math and statistics with subject expertise. Strategic planning and decision-making can be aided by these insights.
Data science is one of the fields with the quickest growth rates across all industries due to the increasing volume of data sources and data itself. Thus, it should come as no surprise that Harvard Business Review (link located outside of IBM) named the position of data scientist the "sexiest job of the 21st century." Businesses are depending more and more on them to analyze data and make practical suggestions to enhance business results.
Analysts can gain practical insights from the data science lifecycle, which includes a variety of roles, tools, and processes. According to Factored AI , a data science project often goes through the following phases:
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