Salary progression for individuals transitioning from a non-tech field to data science can be significant, influenced by factors like experience, education, location, industry, skills, and company size. Starting salaries may be lower but can rise considerably as they gain expertise and experience. Earning potential is higher in tech hubs and industries like finance or healthcare. Continuous learning, certifications, and skill development can further boost salary growth in the data science field.
If you are interested in getting into this field, check out this video about Franco and how he achieved a career transition from a non-tech to a data science field with the help of Intellipaat’s Advanced Certification in Data Science and AI.
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