7 Common Data Science Mistakes and How to Avoid Them

"Mistakes are the portals of discovery."- This is true in most cases, but in case of data scientists, making mistakes help them discover new data trends and find more patterns in the data. Having said this, it is imperative to understand that Data Scientists have a very small margin for error. Data Scientists are hired after a lot of deliberation and at a high cost. Organizations cannot afford to disregard bad data practices and repeated mistakes from Data Scientists.