Mathematics for Data Science and Machine Learning using R

With the increase of data by each passing day, Data Science has become one of the most important aspects in most of the fields. From healthcare to business, everywhere data is important. However, it revolves around 3 major aspects i.e. data, foundational concepts and programming languages for interpreting the data.  This course teaches you everything about all the foundational mathematics for Data Science using R programming language, a language developed specifically for performing statistics, data analytics and graphical modules in a better way.

Why Learn Foundational mathematical Concepts for Data Science Using R?

Data Science has become an interdisciplinary field which deals with processes and systems used for extracting knowledge or making predictions from large amounts of data. Today, it has become an integral part of numerous fields resulting in the high demand of professionals of data science. From helping brands to understand their customers, solving complex IT problems, to its usability in almost every other field makes it very important for the functioning and growth of any organizations or companies. Depending upon the location the average salary of data scientist expert can be over $120,000. This course will help you learn the concepts the correct way.

Why You Should Take This Online Tutorial?

Despite the availability of several tutorials on data science, it is one of the online guides containing hand-picked topics on the concepts for foundational mathematics for Data Science using R programming language. It includes myriads of sections (over 9 hours of video content) lectured by Timothy Young, a veteran statistician and data scientists . It explains different concepts in one of the simplest form making the understanding of Foundational mathematics for Data Science very easy and effective.

This Course includes:

• Overview of Machine Learning and R programming language

• Linear Algebra- Scalars, vectors & Metrices

• Vector and Matrix Operations

• Linear Regression

• Calculus- Tangents, Derivatives and others

• Vector Calculus- Vector spaces, Gradient Descent and others

• So Much More!

This field is constantly become important for both industries as well as developers. If you are one of those who loves data science and are having issues with all the foundational concepts related to it, then it’s the right online tutorial to solve your issues. Start today, in order to become the expert of tomorrow!