Studying statistics in the university, does it qualifie you to become a Data scientist?
It’s a good start. Someone with a strong statistics background really has all it takes become a great data scientist. Data science is not just about having mastery over a set of methods and tools, but rather a drive to discover and interpret what is hidden in data. You need to be able to grasp concepts in many fields quickly and be able to put yourself in the shoes of stakeholders in those fields. Many times you are the only person who can access, make sense or even explain why things are the way they are. Which is a problem. You see, one of the responsibilities of a data scientist is to educate you clients on how and why you uncover the things you uncover. Passing this knowledge is key for them, your reputation and it’s just the right thing to do which will move forward their research or whatever work they do. You need to become a good writer. Data processing, R and Python scripts, and some matplotlib figures are of no value at all. You need to be able to extract mean...