Data Science Certification Training – R Programming
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- 40 hours of instructor-led training
- 10 real-life industry projects in retail, insurance, finance, airlines, and other domains
- Lifetime access to self-paced learning
- 24 hours of self-paced video
- Dedicated mentoring session from our faculty of industry experts
Learn data analytics & predictive modeling techniques using R Programming language with simplilearn data science certification training. Enroll Now for this instructor-led online course to become a certified Data Scientist.
Can I cancel my enrollment? Will I get a refund?
Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.
What if I miss a class?
We record the class sessions and provide them to participants after the session is conducted. If you miss a class, you can view the recording before the next class session.
What training formats are used for this course?
We offer this data science with R certification course in the following formats:
Live Virtual Classroom or Online Classroom: With online classroom training, you have the option to attend the course remotely from your desktop via video conferencing. This format reduces productivity challenges and decreases your time spent away from work or home.
Online Self-Learning: In this mode, you’ll receive lecture videos that you can view at your own pace.
Who are our instructors and how are they selected?
All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty for data science online training.
What are the System Requirements?
You will need to download R from the CRAN website and RStudio for your operating system. These are both open source and the installation guidelines are presented in the data science course.