Being able to analyze data properly has always been important, even before we went into the digital and big data era.
Data analysis is a very important skillset for scientists, because models are built on the results that we see in experiments, and if we are able to properly analyze our experimental data, we are able to formulate models that better represent reality.
But data analysis is only half the story.
The other half, the one that is most often forgotten, is that you also need to be able to:
- Communicate your findings to others
- Convince others that what you’ve found is indeed correct
This is also known as….. Storytelling.