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The roles of data scientists and data analysts have evolved with the advancements in technology and the rise of big data. While both roles require similar skills, data scientists are primarily problem solvers and use a wide range of tools such as Tableau, Python, and Excel to develop and test new algorithms. They work with both structured and unstructured data and focus on building AI and machine learning models. ....
The demand for data science and analytics professionals is on the rise. The emergence of generative AI has led to questions about the impact on careers in the field. However, organizations in various industries, not just financial services, are recognizing the value of data analysis. High-demand data science roles include data scientists, data engineers, business intelligence engineers, and machine learning engineers. ....