#66DaysofData Member Spotlight: Ritobrata Ghosh

  • Be careful about what sources of information you follow and learn from. There has been an explosion in people broadcasting their experience and opinions on data science.
  • A corollary to the first point: Don’t listen to all the lists out there telling you how you need to learn to get started in data science. Many of them are unnecessarily elaborate and accomplish very little other than discourage you from even starting. You don’t need to know everything before you do anything meaningful.
  • Breadth first, then depth when you first start out. Expose yourself to many topics in data science so you can start linking them together and build a more robust web of knowledge. He makes the allusion to building an empire: conquer more land and focus on building out first and building up second.
  • Last but certainly not least, data science is not an easy field: don’t expect quick and easy results.

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Wilson Man

Wilson Man

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Aspiring data analyst, originally from Toronto! Now owned by two cats and living in the US.