As a data science enthusiast, linear algebra and statistics have been the founding pillars of Artificial Intelligence. When I began my journey with statistics in 2nd year in VIT AP, I started working with various state of the art R tools on different open source datasets like boston house datasets and many more. The course not only involves in-depth theoretical knowledge into various stats tests of population like Z and t but also heavy emphasis on practical and project based learning which is a great starting point into data science. After the Statistics course I was not only well versed with a new coding language (R), but also had a strong mathematical and statistical background in data science. It not only helped me in learning but also came in very handy during my interview process.