Data Science with R Certification

CHF 595 CHF 150 ( Excl. VAT )

Simplilearn Course
Without Exam Voucher
SKU: DS&BI-01B Category: Tags: , ,

Course outline and syllabus

This would be useful for quick offline reference. You can download and keep a copy with you.

  • Course Overview
  • Certification
  • Who should attend?
  • Prerequisite
  • Expected learning outcome

Data Science with R Certification course is co-developed with IBM and covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis and forecasting.

To pass the Data Science - R Programming course exam, you must:

  • Complete 85% of the data science course
  • Complete any one project out of the four provided in the course. You will submit the project deliverables in the LMS, which will be evaluated by lead trainer
  • Score a minimum of 60% in any one of the two simulation tests
  • Pass the online exam with a minimum score of 80%.

For unlock the training course completion certificate, you should complete 85% of the course and one project.

This Data Science online training with R programming is beneficial for all aspiring data scientists including, IT professionals or software developers looking to make a career switch into analytics, professionals working in data and business analysis, graduates wishing to build a career in analytics, and experienced professionals willing to harness Data Science in their fields.

There are no prerequisites for this Data Science with R certification course. If you are a beginner in Data Science, this is one of the best courses to start with.

Data Science with R certification training course makes you an expert in data analytics using the R programming language. This course enables you to take your Data Science certification into a variety of companies, helping them analyze data and make more informed business decisions.