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A data scientist's career typically starts with education in fields like computer science or statistics. They begin as data analysts or junior data scientists, analyzing data and building skills. As they gain experience, they progress to mid-level roles, working on more complex projects. Senior-level positions involve leadership and mentoring. Some specialize in areas like machine learning, while others move into management. Advanced data scientists may become industry experts, consultants, or researchers. Continuous learning and networking are crucial for career growth in this dynamic field.
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The data scientist career path involves progressing from entry-level analyst roles, gaining more responsibility and leadership roles as you rise through the ranks.
Data scientists use a mix of data analytics and business intelligence to drive smarter business decisions and solve complex problems.
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Related Questions
I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for training. Pease lemme know how i can prepare myself.
Currently I am working as a tester now, and looking to get trained in Data scientist.
Will that be a good decision, if I change my stream and move to data scientist field ?
Is that possible to do machine learning and Data science course after B.com, MBA Finance and marketing students and how is career growth?
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