This course is Very Practical, Easy to Understand and Every Concept is Explained with an Example! I have added real life examples to understand the applications of statistics in the field of Data Science... We'll cover everything that you need to know about statistics and probability for Data Science and Business Analytics! So What Are You Waiting For?

Machine learning is the hottest field to work in right now. As organizations integrate machine learning projects, roles for newcomers and managers are opening up all around the globe.

In this course you will learn all about the mathematical optimization of linear programming for data science and business analytics. This course is very unique and have its own importance in their respective disciplines. The data science and business study heavily rely on optimization. Optimization is the study of analysis and interpreting mathematical data under the special rules and formula. The length of the course is more than 6 hours and there are total more than 4 sections in this course.

Ford drove the first automobile down the streets of Detroit in 1890. It would take another 30 years before the company streamlined production and made cars available to the mass market. The obvious lesson: Sometimes technology has a long gestation period before we can scale it for everyday use. But, digging a bit deeper, there is a more profound lesson. Over the first hundred years of the self-propelled vehicle, manufacturers established essential building blocks -- standard components like the combustion engine, steering wheel, and axle.