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What specific skills and knowledge domains should a Cloud Architect prioritize to effectively transition into the field of Data Science?

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A Cloud Architect pivoting to Data Science should focus on learning statistics, programming (e.g., Python), and data manipulation libraries (e.g., Pandas), machine learning techniques, and data visualization tools. Additionally, they should deepen their understanding of data storage, data engineering, and scalable cloud computing solutions to effectively manage and analyze data in a Data Science context. If you are planning to switch careers then check out this video about Balaji and how he upskilled from Cloud Architect to Data Science field with the help of Intellipaat’s Advanced Certification in Data Science and AI.

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