Two of the biggest obstacles to learning Data Science are for most people. The first is that we must learn how to code and the second is mathematics. Maths has been a bully in our school days so we might be more hesitant to learn it. We will be tackling that bully by learning why maths is important and what it can do for us. It isn’t difficult to learn.

There is a story. There was once a wild horse. Anyone who attempted to mount it would be thrown off. It scared everyone. It was so fearful that many people didn’t even attempt to control it. Alexander was born. Alexander soon learned to ride the horse with his wits, and soon became one the most skilled riders in Macedonia.

Later, he died from malaria -Alexander, and not the horse.

What does this have to do with Mathematics?

Most people don’t bother trying because they have heard it’s difficult.

It is easy to master if you have a little humor.

Mathematics is your ticket to success.

An analogy such as the one above can be used to motivate (for the first 30 minutes of starting), but it is not enough to motivate the effort towards learning Mathematics.

It is a requirement to become a Data Scientist.

The following is a long answer if you aren’t convinced to learn mathematics. First, maths are necessary for modeling and measurement. It is simple to measure. Dairy milk starts from 10 Rs and Mt Everest measures 8848m in height (a little more than Maria Sharapova). The modeling is what can scare you. Imagine Tony being three times taller that Moni (Tony = 3-Moni). This was not alarming. However, I would say that the equation for height is just as under-estimating.

This is how a mathematical model might look. It is important that you can read it in plain English. It states that y depends on both number x and number z. It is the sum of three times the value x squared, three times the log of x with base 2 and three times the constant e raised up to the power z (negative means invert this and use the fraction), as well as the rate of change for y with x at that point.

This equation is infinitely easier if we know that x = 16, z = 1, and that the rate of change for y is 13. You only need a calculator to find your value for y.

What is our ultimate goal? Is it to solve this equation, or write similar ones? Answer- Neither. This is the job for the machine. Your job is two-pronged.

To help your clients understand that y depends on x, a bit on z and none on a variable called t.

This equation will have many solutions. The machine will solve it, not you. Take a look at these solutions and decide which one you want for your goal.

Second, you must be able to compare two things when learning mathematics. Let’s say that you want to find out how much each product is selling. You are told that Toffee and Chocolates are very popular. This information is crucial. Can you make a decision? Maths can help you understand the situation by rephrasing it. For example, Toffees have an annual demand of 3,000,000 units and Chocolates have an annual demand of 19,000,000 units. Toffees and Chocolates are strongly correlated. Therefore, supplying 10,000,000 units of Chocolates will result a decrease in demand for product A to 2.6 millions units.

We can also raise the price of Toffees 10 percent. This will result in a decrease in total sales by 3 percent. However, the price to the company will drop by 17 percent. This will increase our total profit by 9 per cent. (Isnâ€™t that common sense? Sales may decrease if manufacturing costs have decreased. In this case, total profit may actually rise. It is important to find the sweet spot where the universe conspires to make you and/or your company rich. Data Science and math can help you do this.

Maths are also available