R Programming training
Learn to leverage the power of R
for data science and statistics and make your own stunning data visualizations
and presentations. Unlock the power of your data with R and make more informed
decisions and realize business goals. R is fast becoming the number one tool of
choice for data analytics and you can master it with Zeolearn’s R Programming
courses.
In this step to step guide to R you
will learn its basics such as the R syntax, coding in R and navigating the R
interface. You will learn how to handle data structures such as vectors,
matrices, lists and data frames. Finally you will explore R packages and create
your own visualizations with the help of graphics. This experiential course is
loaded with hands-on practice sessions, examples and interactive coding
simulations that will make you ready to perform your own data analysis using R.
Our courses are designed and delivered
by professional trainers at reasonable fees.
What you will learn from this
coaching:
Is this R programming training
courses right for you?
Data analysts, web developers and
even students who want to pursue data science as a career will find this course
useful.
Prerequisites:
There are no prerequisites for this R Programming certification but basic understanding of statistics and data structures will be useful.
Analysis and presentation of data is the most important aspect of business growth and sustainability in this data driven age. There are numerous tools and programming languages that help in data analysis and statistics but among the most popular is the R programming language. Besides being open source and cross platform, R provides numerous tools for advanced data statistics. Data analysis and statistics is among the hottest jobs of the decade and mastering the R programming language will help you land lucrative jobs with high salaries.
Zeolearn academy brings you comprehensive and interactive R Programming training courses that will help you master R and start your own data analysis.
This course is led by industry experts who will bring in their experience into the workshop and help you gain the confidence to skilfully use R for data analysis. You will gain hands on expertise through the numerous examples, exercises and project work conducted through the course of the workshop. Join now and learn to leverage the power of R programming language for project and career success.
On completing the course, you will learn about:
Zeolearn brings you mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Programming such as C# and F#, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!
You will receive R Programming certification in the form of a course completion certificate.
Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will build your own R statistical analysis package with R with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certification.
Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.
You may be required to put in 10 to 12 hours of effort every week, including the classroom sessions/live class, self study and assignments.
We offer classes in classroom and online format. While classroom sessions are held in specific venues in your city, for online sessions all you need is a Windows computer with good internet connection and you can access the class anywhere, at anytime. A headset with microphone is also recommended.
You may also attend these classes from your smart phone or tablet.
Data analysts, web developers and even students who want to pursue data science as a career will find this course useful.
One must have:
R is a programming language, commonly used for statistical computing by performing heavy roles such as data processing and statistics. R is able to handle large amount of data. R stores series of complicated data-analysis using command line scripting
R programming training in Austin provides a comprehensive learning of the software. R programming language is best for machine learning, data analysis and statistics. By using this language one can create functions, packages and objects. R Programming language can be applied to all operating system as it is platform-independent.
Zeolearn Academy brings you an intensive R Programming course in Austin. This course gives you an in-depth understanding of the basics and fundamentals of the most powerful programming language. At Zeolearn Academy students are imparted theoretical as well as practical knowledge by our highly experienced trainers.
The comprehensive course entails 32 hours of immersive sessions, where students will get to learn all about R Programming. The course starts with the basics such as the R syntax, coding in R and navigating the R interface. The students will also learn about R packages and how to create their own data visualizations.
The R programming language is an important tool for the development in the machine learning process and the numerical analysis. The R programming training courses in Austin makes students well versed in the programming language, the students are required to work on projects to build their own R statistical analysis package. Our experienced trainers put in their best efforts and expertise to help students for future implementation of the technology. R programming certification in Austin helps students standout and have an advantage over the others.
Participants who wish to enroll for this course are expected to have a basic understanding of statistics and data structures. The course is useful for data analyst, web developers and candidates who want to pursue data science as a career.