The journey/quest/path into data science can seem daunting at first. It requires a solid foundation/understanding/grip of theoretical concepts, coupled with practical skills/expertise/proficiency. This means diving/exploring/delving get more info deep into mathematics/statistics/algorithms, and then applying/implementing/translating that knowledge … Read More