DataFramed [DataFramed Careers Series #1] Launching a Data Career in 2022
May 30, 2022
Sadie St. Lawrence, Founder and CEO of Women in Data, shares her inspiring journey in the data field and the best strategies for launching a data career. She discusses various career paths, the importance of mentorship, and how to craft a standout resume. Sadie emphasizes the significance of authenticity in portfolio projects and the growing impact of blockchain technology on data careers. Listeners gain valuable insights into overcoming imposter syndrome and fostering personal growth for a successful future in data.
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Sadie's Data Science Journey
- Sadie St. Lawrence transitioned to data science from neuroscience in 2014.
- She prioritized data analysis over other lab tasks, pursuing a master's degree and various data roles.
Data Science Specialization
- Data science roles are becoming more specialized and require industry-specific or business function skills.
- Aspiring practitioners should define the type of data scientist they want to be, like a product or financial data scientist.
Blending Business and Data Skills
- Combine technical data skills with business acumen by researching industries and companies of interest.
- Reading financial statements of public companies offers insights into their operations and strategies.