We have more data available to us today than ever before. That’s why we need more powerful tools to help non-data-scientists to quickly make sense of it — and discover actionable insights that can change their world.
After collecting life stats data for a year, here’s what you can learn by applying data analysis like correlation studies, time series analysis, Fourier transform and more.
Now that Excel enables Python logic within its interface, a wide variety of professionals can draw on the power of Python tools to supplement their day-to-day analytics workflows.