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Pedro Araujo - The Data Science skills you already own | PyData Global 2023
Discover how to recognize and value the data science skills you already possess, and learn how to develop a more effective and confident approach to data-driven decision-making.
- Data skills already owned by individuals may not be recognized or valued due to fear of missing out (FOMO) or external pressure.
- Communication skills are essential in data jobs and should not be considered “soft skills”.
- Data skills can be developed as a team, and one should focus on internally objectives rather than just external achievements.
- A horizontal bar of general skills is not enough; a vertical bar of specific skills is necessary for success in a data-related job.
- The T-shaped person, with both general and specific skills, is more valuable and likely to succeed in a data-related job.
- Recognizing and valuing one’s existing skills can help overcome FOMO and lead to a more confident and accurate self-perception.
- Developing data skills is essential for data scientists, and data-driven decision-making is crucial in the field.
- The cutting edge is always moving, and one should be willing to continuously learn and improve.
- External pressure can lead to fear and stress, while internal motivation is more conducive to success.
- FOMO can be overcome by recognizing and valuing one’s existing skills and focusing on internally objectives.
- The T-shaped person is more adaptable and can better navigate complex situations.
- The ability to communicate complex topics in simple terms is a valuable skill in data science.
- The concept of the T-shaped person applies to many fields, not just data science.