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Tell Stories with Data: Communication in Data Science
Data storytelling can drive audience engagement and translate insights into actions or business outcomes.
In the world of data science, one must excel in data creativity, scepticism and communication. Interesting insights from data analysis will have to be shared with senior-level decision makers and key stakeholders in a way that achieves maximum impact.
The ability to effectively present and communicate findings — by creating compelling stories — to an audience that could very well be outside the realm of scientific data analytics, is a determining characteristic of any successful data scientist. The good news is, finding and telling stories with data is an art, across disciplines, that anyone can learn.
Why is communication important?
The work of a data scientist extends beyond the database. As a data scientist, you won’t just spend hours poring over data sets, crunching numbers or interpreting key findings to reach conclusions. You will also have to:
- Explain how you arrived at a particular conclusion
- Justify rationally why you approached a problem in a specific manner
- Convey interesting insights in a way that…