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What challenges could individuals from non-technical backgrounds face when entering the data science field, and what strategies can assist them in overcoming these challenges?

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Entering the data science field from a non-tech background can pose challenges like lacking technical skills, mathematical knowledge, and relevant experience. Overcoming these hurdles involves pursuing education and training, building a portfolio, networking, staying updated, and honing communication skills to bridge the gap between technical and non-technical stakeholders. 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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