Data Science with R

Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.

What are the course objectives?

The Data Science Certification with R has been designed to give you in-depth knowledge of the various data analytics techniques that can be performed using R. The data science course is packed with real-life projects and case studies.
* Mastering R language: The data science course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R.
* Mastering advanced statistical concepts: The data science training course also includes various statistical concepts such as linear and logistic regression, cluster analysis and forecasting. You will also learn hypothesis testing.

What will you learn in this Data Science course?

This data science training course will enable you to:
* Gain a foundational understanding of business analytics
* Install R, R-studio, and workspace setup, and learn about the various R packages
* Master R programming and understand how various statements are executed in R
* Gain an in-depth understanding of data structure used in R and learn to import/export data in R
* Define, understand and use the various apply functions and DPYR functions
* Understand and use the various graphics in R for data visualization
* Gain a basic understanding of various statistical concepts
* Understand and use hypothesis testing method to drive business decisions
* Understand and use linear, non-linear regression models, and classification techniques for data analysis
* Learn and use the various association rules and Apriori algorithm
* Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering

What do I need to do to unlock my Simplilearn certificate?

To pass the Data Science - R Programming course, 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 our 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%.