Tutor profile: Steven N.

Why should I learn Python?

Python is an extremely strong coding language that is quickly becoming the most popular in the world of programming. In college, it is likely that you will encounter python in some form as a part of classes involving scientific calculation or statistics and data science. It has many modular tools that different people make that can enhance your ability to communicate and graph data, make analysis of scientific findings, and countless other applications - even making it easy to perform your own Machine Learning and Artificial intelligence programs right from your computer - which was the subject of my Thesis in Princeton. Understanding how to use Python enhances your abilities in too many ways to count. If this is your first programming language, then the payout is even greater as other languages become easier to learn as well after you have learned your first.

Why should I learn Mathematics?

Mathematics lies at the core of every science. It is the difference between getting things right by luck, and getting things right every time by skill. Many jobs after college require a solid foundation in mathematical skills. A good understanding of mathematics will serve to augment your understanding in every field imaginable - especially in the engineering disciplines, sciences, and programming. With my extensive mathematical background in Mathematics of all kinds such as Algebra (Linear included), Probability, Statistics, Calculus ( Including Multivariable and Differential), and many other disciplines, we are sure to be able to tackle any mathematical question at the high school or college level.

Why should I learn Statistics?

Statistics lies as one of the most useful and professionally attractive skills for an individual to cultivate. Statistics on its own can be useful in the interpretation of data - Our world is quickly evolving, and in its multitude, data is what allows us to understand macroscopic trends and make actionable decisions by the utilization of statistics. When used in conjunction with other skills such as programming in R or Python, which I am also trained in, the power of statistics is greatly enhanced as it then becomes a tool whose applicability and marketability spans all professions, in academia and in the corporate world.