Demystify the world of Machine Learning and build core Data Science & predictive analytics skills, without writing code! Created by Maven Analytics, Joshua McCarty 2.5 hours on-demand video course If you're excited to explore data science & machine learning but anxious about learning complex programming languages or intimidated by terms like "naive bayes", "logistic regression", "KNN" and "decision trees", you're in the right place. This course makes data science approachable to everyday people, and is designed to demystify powerful machine learning tools & techniques without trying to teach you a coding language at the same time.

Break the business problem into an analytical problem Let's start this with another cliche - " If I had an hour to solve a problem I'd spend 55 minutes thinking about the problem and 5 minutes thinking about solutions". This is where a lot of analysts/consultants fail. As soon as a business problem falls into their ears, they straightaway get down to solution-ing, without even a bare attempt at understanding the problem at hand. To tackle this, I (and my team) follow what we call the CS-FS framework (extra marks to those who can come up with a better naming). The CS-FS framework stands for the Current State - Future State framework.In the CS-FS framework, the first step is to identify the Current State of the client, where they're at currently with the problem, followed by the next step, which is to identify the Desired Future State, where they want to be after the solution is provided - the insights, the behaviors driven by the insight and finally the outcome driven by the behavior.