Data Science is a popular field today and if you want to build a career in the same, start with learning R programming language. This programming language is used in analysing structured and unstructured data and is ideal for performing statistical operations. Over the past few years, R has gained importance in other fields of IT community and business domain, making it more popular in the industry.
CrunchGrade provides online R programming tuition where students can interact with the best R programming experts in Australia and learn the programming language step by step. Our tutors have years of experience in R programming and data science. Many of them are working in the tech industry. Many of them have high qualifications such as a masters or a PhD degree in the fields of computer science, computer applications, data science and programming. Check our online tutor profiles today and start learning.
Open-Source: R is an open source programming language. You can install it on your machine and use it in whichever way you want for free. You can even modify it and resell it under your name.
Extensive Library: R has a variety of inbuilt packages and functions that are designed to cater different needs. You can find packages for Machine Learning, Statistical Modelling, Data Manipulation, Data Visualisation, and more.
Web Applications: R is a popular programming language in the field of web development. You can use R to create a variety of web applications. You can create web pages, dashboards and a lot more from the R console.
Data Science Applications: Data Scientists often use the R programming language as it provides many statistical features like probability distributions, mean, median, variance, graphics maps, basic plots and more.
Other Applications: R is a language used in almost every industry today. Whether it is finance, banking, manufacturing, pharmaceuticals, or bioinformatics, this language finds a variety of applications because of its statistical features.
Introduction
Fundamentals of R
Variables
Input/Output
Control Flow
Functions
Data Structures
Error Handling
File Handling
Packages in R
Data Interfaces
Data Visualisation
Statistics
An online tutor can help you gain proper understanding of the R programming language. All our tutors are trained to provide the best learning experience to a student. Since you can choose a one-on-one online learning session, it will become much easier for you to ask queries and get your doubts solved without any hesitation.
Once you share your learning requirements with the tutor, they will design a learning structure for you. This structure will help you in completing all the required topics at your own pace and will give you time for revision, doubt solving, practise and tests.
Our tutors will be tracking your learning progress from day one so that you can realise your strengths and weaknesses in the subject and study accordingly. They will provide you with study materials, coding examples, exercise and mind maps that will help you understand the topics faster.
There are a few tips to remember if you want to choose the best R Programming tutor online which are mentioned below.
Do you know that R is being used by 2 million people? It is not only very popular but a very useful programming language for data scientists, analysts and statisticians. Not only this, R can also be used in machine learning, business intelligence and artificial intelligence. Different careers in R programming include:
According to Pay Scale, the average salary of a data analyst with R skills in Australia is around AU$72,494/ year. The average salary of a data scientist with R skills in Australia is around AU$90,899/ year.
Dedicated Expert Tutors: You will find the best R programming tutors in Australia here at CrunchGrade. Just connect with the tutor online, schedule your study session and start learning.
Real-life Examples: Learning R programming is incomplete without learning any real-life examples. Our tutors will incorporate the best use cases in the tutoring session and make it easier for you to understand the R programming environment.
Self-paced Learning: Our tutors will match your learning pace and will make sure that you have a clear understanding of all the basics before moving on to advanced R programming topics like case studies.
Collaborative Learning Environment: You can interact with the tutor in our live, online classes, send messages and share files through our collaborative learning platform. This will ensure a classroom-like learning environment for you.
After completing the tutoring sessions, students will be able to: