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Data Science with R Certification (Self-Paced Learning)

> Data Science certification with R programming training help trainees master data analytics using the R programming language

> As per Statista, the Big Data Analytics market is expected to reach 274.3 billion U.S. dollars by 2022

>  As per Indeed.com, the average salary of a data scientist is $ 122,694

$ 199 $ 599

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

Course Overview

Data Science with R Certification help trainees gain expertise in data analytics using the R programming language. This course provides learners with an in-depth understanding of data visualization, predictive analytics, and descriptive analytics techniques, R packages,Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest and Naive Bayes using R. 

Key Highlights

  • 24 hours of Online self-paced training
  • Lifetime access to self-paced training
  • 7 hands-on projects
  • Simulation test papers
  • Lab access to practice live during sessions
  • 24x7 learner assistance and support
  • No exam included 

What You'll Learn

  • Learning about Data structures and data visualization
  • Learning Business analytics
  • Understanding R programming and its packages
  • Learning about Apriori algorithm 
  • Learning Apply functions and DPLYR function
  • Understanding Kmeans and DBSCAN clustering

Career Benefits

  • Career opportunities in Data and Analytics
  • Lucrative pay packages 
  • Growing demand

Who Can Attend

  • Analytics Managers
  • Business Analysts
  • Information Architects
  • R professionals
  • Software developers
  • IT professionals
  • Aspiring data scientists 

Exam Formats

Exam not included 

Course Delivery

This course is available in the following formats:

  • Self-Paced Learning Duration: 24 Hrs

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