The Essential Soft Skills for Data Scientists (Simplilearn) Flashcards
Beyond statistical, mathematical, and technical work, what does data science require?
- Vision
- Imagination
- Creativity
How important are soft skills in data science?
Very!
Soft skills are crucial to realizing data scientists’ career ambitions.
From Google’s study, what characterized the most productive, innovative teams?
- Not those with top technical talent
They turned out to be interdisciplinary teams with professionals demonstrating:
- Good communication
- Insights about others
- Empathetic leadership
What advantage does enhanced collaboration bring?
Improved business outcomes :)
What are the essential soft skills for data science?
- Communication
- Curiosity
- Business Acumen
- Storytelling
- Adaptability
- Critical Thinking
- Product Understanding
- Team Player
Why is communication so important for data science?
It links business orientation with the scientific, analytical, technical facets.
It conveys the value of the insights.
It also promotes data literacy.
How does curiosity enable a higher quality of knowledge?
Intellectual curiosity inspires data scientists to look for answers to address business crises.
Why is business acumen important?
Data scientists deal with a lot of knowledge that needs to be translated effectively.
What business acumen do data scientists need to understand?
- Current and upcoming industry trends
- Basic business concepts and tools
- Strengths and weaknesses of their organization
- Business objectives
- Market position
How does storytelling extend the power of data visualization?
Storytelling aids data scientists in conveying results logically and clearly.
What is the importance of adaptability?
It is crucial, since technological innovation and implementation are accelerating.
How does critical thinking bring objectivity and help remove bias?
Analyzing problems OBJECTIVELY during data interpretation means examining all problem angles and remaining curious, removing bias from the final output.
What does product understanding help with?
Accelerating product quality quickly, with a systematic approach.
Why is teamwork and collaboration important?
Because data scientists don’t work in a bubble! They need to listen to others’ input and put it to their advantage.
What are the ways that Glassdoor suggests, for improving soft skills?
- Take an online course
- Get feedback from others
- Get a coach
- Practice with a friend
