Data Science with R Certification Training in UAE

Aspirants must have a stable internet connection, an i3 processor, and 4 GB RAM. An i5 processor with 8 GB RAM is highly preferred.

To become an R Programmer, enroll for the StarAgile Data Science with R course to learn the R language and obtain hands-on experience to code.

R Programmer uses the R language to compute, collect and analyze statistical data to optimize business, design statistical models, formulate procedures and provide technical guidance.

An R programmer can work as an R programmer, Data Scientist, Data Analyst, Data Architect, Data Visualization Analyst, Geo Statisticians, Database Administrator, and Quantitative Analysis with R.

The finance and banking industry use R programming for risk analytics. Healthcare, E-commerce, manufacturing, and social media to use the services of an R programmer.

The course helps business entities understand advertising campaigns by studying marketing strategies to know customer preferences to make innovative products to satisfy customers' needs.

The training starts with the fundamentals of the course and does not have prerequisites.

A data scientist with an R certification earns $86,753 in the Finance industry and $82,434 in the technology industry. In India, Data Analysts with R skills earn ₹503912.

It is a statistical analysis language and makes data analysis simple. It is available for free under the GNU general public license. A pre-compiled binary version is provided for Windows, Mac, and Linux OS. It is easy to learn the language and also makes data visualization and business analytics possible with limited mathematical knowledge.

It is a programming language used for statistical analysis, reporting, and graphical representation. It was created by Ross Ihaka and Robert Gentleman and hence name R programming, the first name of two R authors.

R programming is a powerful language to analyze and model data. It is used for various tasks, from data cleaning to complex modeling.

R is highly customizable and can be used for various tasks. R is an effective data analysis and visualization tool, popular for many data scientists.

To become a data scientist, you should learn R and Python. Both languages are widely used, so knowing one of them could benefit your career.

Both R and Python are considered to be the best programming languages to flourish in the data science career. 

Both are open source languages and provide access to many libraries. R is used for statistical analysis and Python is generic and good for a data scientist. Python is a general-purpose language but R is created by statisticians. 

You can choose either Data Science With Python Training Course Online or Data Science with R Programming Training | R online course to make a career in data science as a beginner. 

If you are already employed then based on your company and work preference opt for a course. Alternatively, go for R if you focus more on statistics and Python for a general data science approach.

Yes, training provided by Staragile trainers, the recorded videos, study materials, and the mock examination is very much sufficient to clear the R programming for data science certification examination

Both are options are available and based on your preferences you can either attend online classroom training or get access to the recorded videos.

R programming certification course is conducted online and you need a PC with internet access. Connect during the training time as confirmed by Staragile you can be part of the live streaming session. It is more of classroom training but from your home using your computer.

• Visit Staragile Contact us page. Submit the form 
• Send an email with your query to [email protected]
• Call us 
• Click on Drop a Query 

 Follow any of the above methods to get in touch with us around the clock. 

We have a team of experts who will teach you in such a way you master R programming for data science and clear the exam in your first attempt. The team will handhold you right from the time you enrolled for the course. You can stay connected for any teaching support during business hours with the mentors. 

• Choose the mode of training 
• Pay online using credit or debit card 
• Attend the course 
• Give the exam 
• Complete the project 
• Get certified

You cannot attend the class again, however, we will provide you with the recorded videos of all classes and you can watch them. Seek clarification during your next class.

Live virtual training – take training from home and meet with the instructors online. Ask doubts and seek clarifications.

Pre-recorded videos – Get access to the lectures and listen to them to practice on your own. 

Instructors are selected not just based on their qualifications but their industry and training experience. There is a rigorous selection process and all our trainers have more than a decade of experience in offering training.

• You can attend an interactive online class to understand from the basics of data science and R programming 
• Do live projects based on real-life case studies and gain experience 
• Work on assignments and practicals in parallel with the class and ask doubts to master the concepts 
• Stay connected with our experts for future support 
• Get certification which is valid for life-time 
• Access the recorded videos and keep learning 
• Avail our 24/7 support even after the training period and stay as part of the Staragile family for seeking help regarding your career prospects 

Once you enroll for the training you will be assigned with login credentials and in that LMS you can find all guidance to set up your system to do practicals and projects. You can also connect with our technical team for assistance. 

Basic instructions to set up R programming IDE are as follows 

• Visit Rstudio website 

• Click on the link and download RStudio Desktop

The job market is wide open for data scientists and thus anyone with the following experience can attend the course to move up the career ladder. 

• Developers can become a data scientist 
  
• Business analyst to move to Machine Learning masters 
• Analytic engineers to lead teams 
• Those who want to work on Big data 
• Information architects to become an expert in predictive analysis 

Also, a fresher can take this course to get the right job opportunity in the data science field.

Get R certification and become a data scientist at the end of the course by master the following things. 

• Understand the role of a data scientist 
• Learn how to analyze data with R 
• Work with data in Excel, CSV, and XML format 
• Know what is data mining and master the implementation techniques 
• Start becoming familiar with machine learning algorithms 
• Execute text mining 
• Deep dive into deep learning concepts 

The primary objective of this R programming for data science course is to qualify you as a data scientist with a certificate. The course covers the following to provide you knowledge in data science

• It begins with introducing you to the data science life cycle and basics of machine learning 
  
• Explains with a demo about various data analytic tools 
• Briefs about data transformation techniques
• How to mine text, sentimental analyses on text data 
• Data visualization techniques 
• Data optimization techniques 
• Provides case studies to understand things better 
• Helps you work on a real-time project executed in RStudio
• Aims at making you a subject matter expert in data science 

Yes, it is easy for beginners to start with R course online. Preferably choose for a live virtual online classroom training and interact with the trainer. Ask questions and get clarified. Follow instructions and try practicals on your PC.

It has become very normal to attend online classes in the recent past and you will get support to install R in your system from Staragile and get going. 

Yes, anyone can start learning a data science online course and R online course is easy to start with. The basic system requirement is a PC with an internet connection. 

Windows PC 

• Windows 7 or higher version (32 or 64 bit) 
• Microsoft Server 2008 R2 or higher version 
• 2 GB memory 
• Minimum1366  X 768 screen resolution 

Mac PC 

• 2009 or higher version 
• OS X 10.10 
• 5 GB free space in the disk 
• Minimum1366  X 768 screen resolution