{"id":251652,"date":"2024-02-01T10:59:03","date_gmt":"2024-02-01T10:59:03","guid":{"rendered":"https:\/\/imarticus.org\/?p=251652"},"modified":"2024-07-01T11:34:15","modified_gmt":"2024-07-01T11:34:15","slug":"data-science-vs-data-analytics","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/data-science-vs-data-analytics\/","title":{"rendered":"Data Science and Analytics: Key Concepts, Techniques and Real-World Applications"},"content":{"rendered":"
Data science<\/span> is an in-demand career path for people who have a knack for research, programming, computers and maths. It is an interdisciplinary field that uses algorithms and other procedures for examining large amounts of data to uncover hidden patterns to generate insights and direct decision-making.\u00a0<\/span><\/p>\n Let us learn in detail about the core values of data science and analytics along with different aspects of how to create a <\/span>career in data science<\/span> with the best <\/span>data science training<\/span>.<\/span><\/p>\n Data science is a study of data where data scientists construct specific forms of questions around specific data sets. After that, they use data analytics to find patterns and create a predictive model for developing fruitful insights that would facilitate the decision-making of a business.\u00a0<\/span><\/p>\n Data Analytics plays a crucial role in the field of decision-making. It involves the process of examining and interpreting data to gain valuable insights for strategic operations and decisions in various domains. Here are some key ways in which data analytics influence the decision-making procedure.\u00a0<\/span><\/p>\n Data science and data analytics are closely related fields. However, they have distinct roles and methodologies. Let us see what they are:\u00a0<\/span><\/p>\nWhat is Data Science?<\/span><\/h2>\n
The Role of Data Analytics in Decision-Making<\/span><\/h2>\n
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Data Science vs. Data Analytics: Understanding the Differences<\/span><\/h2>\n