Course Overview

Training Options

Corporate Training

Customized to your team's needs

  • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Exam & Certification

  • What are the prerequisites for this course?

    This course can be taken up by anyone, and would greatly benefit those with strong logical reasoning and math skills.

  • What projects are included in the course?

    The course offers the opportunity to work on real-time, industry relevant, hands-on projects in the following domains -

    Healthcare : In the healthcare industry, predictors are useful when data insights are used to design effective interventions. Predictive analytics is also used in healthcare to mediate hospital readmissions.

    Insurance : Predictive analytics has been greatly beneficial to insurance companies, according to the 2013 Insurance Predictive Modeling Survey. Analytics has been a boon to insurance companies, as they can now track, draw insights, and analyze the ongoing trends on the market.

    Retail : Analytics will help organizations optimize On-Shelf availability, manage inventory, predict retail trends in specific geographies, analyze the effect of promotions on products, monitor the lifecycle of a product, and regulate production to avoid wastage. Past data helps paint an accurate picture of the various contributing factors that influence the retail industry.

    Internet : Internet analytics is the collection, modeling, and analysis of user-data in large-scale online services, such as social networking, e-commerce, search, and advertisement. Specifically, we look at social & information networks, recommender systems, clustering and community detection, dimensionality reduction, stream computing, and online ad auctions.

  • How do I get certified in the Data Scientist with R program?

    You can get certified by:
    • Completing any one of the four projects. The outcome of the project will be evaluated by the lead trainer. Important screenshots of the project should be submitted via LMS.
    • Clearing the online examination with a minimum score of 80%.
    Note: It is mandatory that a participant fulfills both the criteria, i.e., completion of 1 project, and clearing the online exam with a minimum score of 80% to be certified.

Reviews

  • Stephen Alex

    Stephen Alex

    BI Business Development Manager/BI & Big Data Architect at Rolta AdvizeX, Philadelphia

    Very good intro course.

  • Farheen Alam

    Farheen Alam

    Data Analyst at Dovenmuehle Mortgage, Inc., Houston

    Thoroughly planned topics relevant to the course and covers a wide variety of scenarios for data analysis. Pace of each lesson is perfect.

  • Betty Lum

    Betty Lum

    New York City

    I took the Data Science with R course from Simplilearn, and it was an enriching learning experience. During sessions, the instructor, Pratul Goyal, patiently reviewed and answered questions. This helped me reinforce what I had learned in the previous sessions and learn better.

  • Akhil Raj

    Akhil Raj

    Vice President Operations, Gurgaon

    I want to thank our mentor and trainer, Mr. Aravind Reddy for taking us through the learning process of R programming and making us understand the basics of Data Structure and Machine Learning. The sessions were very useful and I was comfortable and confident in completing the project at the end of the training.

  • Prashant Gupta

    Prashant Gupta

    Bangalore

    I am really impressed with the storytelling skills of my instructor, Deepti. She makes the sessions exciting by keeping things easy to understand. Thanks a lot, Deepti!

  • Rajesh Jagadhara

    Rajesh Jagadhara

    Bangalore

    I got a jump start in my career, the confidence to tackle data science problems, and the opportunity to work on developing AI models using various algorithms like linear regression, ARIMA, and CNN. Thanks, Simplilearn.

  • Anirudh Jamdagni

    Anirudh Jamdagni

    Indore

    Excellent learning place, and highly recommended for working professionals to enhance their skills. Flexible class hours with recorded version is accommodating. The customer support team is very supportive and at easy reach. Great to kick start your career.

  • Mani Kandan

    Mani Kandan

    Design Engineer, Bangalore

    I recently enrolled for a Master’s in Data Scientist degree at Simplilearn. The syllabus is systematically structured, and the live sessions are explained with real-world examples. Looking forward to completing the course. Thanks, Simplilearn Team.

  • Frado Sibarani

    Frado Sibarani

    Data Scientist, Singapore

    Good course. Many examples and demos. Love it.

  • SumanKumar Akhileshwar Singh

    SumanKumar Akhileshwar Singh

    Principal Software Engineer, Bangalore

    I am able to understand and also practice. The course is wonderful!

  • Aaquib Hussain

    Aaquib Hussain

    Software Application Developer @ IBM, Bangalore

    Great presentation and lucid explanatory models....Correlated examples, sampled cohesion and beautiful flow to the structure are few of the USP's of the program

  • Ganesh S

    Ganesh S

    Exec. Member & Treasurer at DMS, IIT Delhi, Delhi

    Excellent course to gain basic operational know-how of R & SAS.

  • Saravanan Ramaraj

    Saravanan Ramaraj

    Solution Architect at MIMOS Berhad, Kuala Lumpur

    Course is very well organized. Keep up the good work!

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

FAQs

  • I want to know more about the training program. Whom do I contact?

    Please join our Live Chat for instant support, call us, or Request a Call Back to have your query resolved.

Our Washington Correspondence / Mailing address

1200 G Street, NW, Suite 800, Washington, District of Columbia 20005, United States of America

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.