If you have ever tried to Google something like “What skills are necessary for a career in data science?”, you have probably been presented an extensive list of skills like statistics, mathematics, software development, machine learning, deep learning and many more. Each of those areas are disciplines in itself whichRead More →

Introduction Have you ever heard about the 34 CliftonStrengths Themes or Gallup Test? In short, the whole idea is about the fact that although people can learn skills, develop their knowledge and gain experiance, they can’t acquire talent. It’s innate. Each of us is unique and trying to achieve anythingRead More →

Albert Einstein has said once: “The more I learn, the more I realize how much I don’t know.” I have the impression that the longer I work for IT, the more I understand this quote. When I have started my interest within data science I thought that it’s all aboutRead More →