Course outline and syllabus
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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.