Customized and exclusive training based on your requirement
Up-skill your team by training them on Data science with R Foundation
R is every statistician’s first programming choice for data analysis. Its user-friendliness, flexibility and robustness have made it very popular for data analysis in the field of academics and research and in the enterprise context too. And if data visualization is what you want then R will get the job done for you. The programs written in R will help you tell stories with your data and turn numbers into useful information. Data Science with R certification is really in high demand and getting certified proves that you are up to date on the advanced concepts that are required for your project.
Zeolearn brings you a comprehensive beginner’s course on Data Science with R Foundation that will allow you to master R and use its inbuilt functions and libraries for creating applications and programs for data science. With a perfect blend of theory and practical sessions, you will be able to master the language and ensure that you are competitive and skilled enough to fulfil the growing demand for data scientists. Our industry scale project will also give the hands-on skills needed to understand the real world demands of R in data analysis. We assure you that coaching will be provided by the best tutors and the candidates who have registered for Data Science with R Course with our institute will get free materials for future references.
What you will learn!
Is this course right for you?
This Data Science with R training is a beginner’s course and is well suited for programmers with or without experience. Students who wish to pursue a career in data science will also find this course beneficial.
Participants are expected to have:
On completing the course, you will:
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 Scala and C#, 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 Data Science with R 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 be working with statistical data, financial data and sports data in R. 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.
Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.
This course is apt for programmers with or without experience. Students who wish to pursue a career in data science will also find this course beneficial.
Data Science with foundation
Beginner course offered by Zeolearn academy is helping students and professionals to gain conceptual clarity on R programming language. This programming language is the first choice of programmers for data analysis. Due to its importance and usability of R programming language, Data scientists who possess knowledge of this programming language will certainly be ahead in the job market.
The classes are conducted in an online and classroom format. Classroom room sessions are available at few physical locations in the city. But data science with r online training in Phoenix can be obtained from any location. You need to have a computer with any OS, i.e. Linux, Windows or Mac. Internet connection is a must. The classes are led by Trainer who has made this course more popular. You get help from tutor throughout your training. The fee for the course is reasonable. You can also save USD 200 in your pocket if you enrol early. You can choose a suitable schedule after checking available training dates and timings. The total length of the data science with r course in Phoenix is 24 hours. If you choose 4 hours per day batch, you can finish attending the training classes in 6 days, or if you choose 2 hours per day batch, the data science with r course in Phoenix will be done in 12 days.
Learning and certification:
In the data science with r training in Phoenix, you will learn how to work with different types of data, i.e. financial, statistical and sports etc. Also, you will learn to create programs using the R programming language that helps in interpreting complex information and numbers.
The data science with r classes in Phoenix will end with real-time project work. Here you will learn to apply the concepts as well as get exposed to challenges you face in the actual job. It prepares you well for your future assignments. After the end of the data science with r training in Phoenix, you will receive course completion certificate.
The demand for trained professionals in this subject area is growing, and the industry needs some professionals to meet this demand. The data science with r foundation in Phoenix will make you ready for the industry needs. So, receiving this data science with r certification in Phoenix will help you in bagging lucrative opportunities available ahead in front of you.