Business and technical write-ups on data science
As a self-taught data scientist or wanna-be data scientist, deciding on what to learn per time is important. However, it can become a stressful task in itself because there a lot of materials and new concepts to cover. For some people, the challenge is that they lack the motivation to keep learning. They quit after … Read more
Let’s say you have set a 6-month goal learn to data science and you are a complete newbie, here is the road map I have created to take you there from the scratch. It covers python programming, data science intuition and solving real world problems: Dataquest (2 months) [Hands-on Tutorial & Coding]- For hands-on python programming … Read more
Bayes Theorem is an important approach in statistics for testing hypotheses and deriving estimates. According to Wikipedia: Bayes’ theorem (alternatively Bayes’ law or Bayes’ rule, also written as Bayes’s theorem) describes the probability of an event, based on prior knowledge of conditions that might be related to the event. For example, if cancer is related to age, then, using Bayes’ theorem, a person’s … Read more
Imagine you are standing on top of the highest mountain in the world where you can see the waters, streams, trees, valleys and animals all around you. What would you do? My guess is you will absorb yourself in the view to make the most out of your time. Same logic applies to Customer 360° … Read more
Background I’m writing this piece to make business leaders and companies stay conscious and keep track of their customer’s data, a huge goldmine that they can use to create competitive advantage and make smart decisions. Over the years, CEOs have only had to pay attention to their financial data. They’d read a one-page summary of … Read more