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[DataFramed Careers Series #2] What Makes a Great Data Science Portfolio
DataFramed
Building a Competitive Data Science Portfolio
This chapter focuses on the importance of having a strong data science portfolio to stand out in a competitive job market. It discusses the challenges faced by candidates due to unrealistic experience requirements and emphasizes the need for effective portfolio projects that showcase skills. The conversation also covers strategies for aspiring data scientists at various career stages to enhance visibility and demonstrate capabilities through engaging data initiatives.
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