Online course - Data Science Certification Training - R Programming

The course covers data exploration, data visualization, predictive analytics and descriptive analytics techniques with the R language.

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Questo corso è fruibile anche via LTI.

699,00 €
(VAT excluded)
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Course Overview

The Data Science with R programming course 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.


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.

Skills Covered

  • Business analytics
  • R programming and its packages
  • Data structures and data visualization
  • Apply functions and DPLYR function
  • Graphics in R for data visualization
  • Hypothesis testing
  • Apriori algorithm
  • K-means and DBSCAN clustering

Course Content

  1. Introduction to Business Analytics
  2. Introduction to R Programming
  3. Data Structures
  4. Data Visualization
  5. Statistics for Data Science-I
  6. Statistics for Data Science-II
  7. Regression Analysis
  8. Classification
  9. Clustering
  10. Association

Is the course accredited?

No, this course is not officially accredited.

How do I pass the Data Science - R Programming course?

To pass the Data Science - R Programming course and unlock the certificate, you must:

  • Complete 85% of the data science course
  • Complete one project in the course. You will submit the project deliverables in the LMS, which will be evaluated by our lead trainer
  • Score a minimum of 60% in the simulation tests

Training provider


eLearning course content

These are the details related to the contents of the eLearning course.

Number of learning object:1
Number of test:1
Total duration:24 ore
Validity:-1 anno

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