Data Science R Program Certification Training

Data Science with R® Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning.

Key Features

  • 32 hours of instructor-led training
  • 24 hours of self-paced video
  • 8 real-life industry projects in retail, insurance, finance, airlines and other domains
  • Hands-on practice with R CloudLab
  • Includes [Business Analytics with Excel] course
  • Money Back Guarantee*
  • Course Completion Certificate
  • Interactive Sessions By An Expert Trainer
  • 24x7 Customer Support
  • Accredited Courseware with Chapter-End Quizzes
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Training Mode

E-LEARNING

$499

  • Data Science with R 180 days e-Learning
  • Self paced online e-learning
  • Interactive audio-video lessons
  • Online Exam Simulator
  • ebook and study materials
  • 24x7 Online access

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Online – Classroom Bootcamp

$999

  • 90 days of flexible access to online, classroom classes
  • Live, online classroom training by certified instructor & Practitioners

Class starts from:-

  • 19 Oct- Weekend Class
  • 22 Oct - Weekday Class
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CORPORATE TRAINING

Customized to your team's needs
  • Customized learning delivery model (digital material and/or instructor-led)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support
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DATA SCIENCE WITH R TRAINING COURSE DESCRIPTION

The Data Science with R programming certification 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.

Data Science with R training is designed to provide in-depth knowledge about data analysis using the R programming language. This course aims to enable participants to understand data visualization, data exploration, predictive and descriptive analysis using R language.

  • Data Analytics concepts of R and functioning of R Calculator
  • Various functions like Stack, Merge and Strsplit
  • Creating pie charts, plots and vectors
  • Assigning value to variables and generating repeat and factor levels
  • Performing sorting, analyze variance and the cluster
  • ODBC tables reading, and linear and logistic regression
  • Database connectivity
  • Deploying R programming for Hadoop applications

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DATA SCIENCE WITH R TRAINING COURSE AGENDA

Course Overview

The entire Data Science with R Certification Training Course is structured in such a way to help you understand data science, machine learning algorithms, analyze and visualize a variety of data sets. Data science using R language covering R packages ways to export and import in R, the data structure of R programming language, and other concepts related to the statistics. The course also covers business analytics concepts, apply, and DPLYR functions. Further hypothesis testing, Kmeans, DBSCAN Clustering, Apriori algorithm is taught during the training. 


BENEFITS OF Data Science with R® CERTIFICATION

At the end of this course, you will:

  • Describe Data Science & Big Data
  • Understand the data science process & tool
  • Distinguish B/W different Data Type & R
  • Solve data problem using vectors, matrices, factor, data frame & lists in R
  • Analyze data using base mathematical functions & R packages
  • Translate data using Regular Expression and Dates & Time functions
  • Recognize base R functions and user-defined functions in R

Course Agenda


Introduction to R

  • Inbuilt functions in R
  • Operators in R
  • Data exploration
  • Data structures in R


Data Manipulation

  • Removing N/A values
  • Selecting rows and columns
  • Combining different functions
  • SQL based functions


Data Visualisation- I

  • Types of Graphs ( Bar Graph, Histogram & Density Plot )


Data Visualisation 2

  • Types of Graphs ( Box Plot, Facet Grid & Scatter Plot )


Mini Project

  • Mini Project (Basic project using all the concepts learnt in the above videos )

EXAM & CERTIFICATION

The eligibility requirements for Data Science with R® certification are:

Learners need to possess an undergraduate degree or a high school diploma.
This Data Science with R certification training is beneficial for all aspiring data scientists including, IT professionals or software developers

Examination Format:
Questions: 100
Duration: 3 hours
Pass Score: >65 percentile
Exam Type: Open Book

Data Science® had published 61% of 100 questions as the passing score.

Online Classroom:
Attend one complete batch of Data Science with R certification training
Complete 1 project

Online Self-Learning:
Complete 85% of the course.
Complete 1 project

You can make as many as three attempts in one calendar year as allowed by PMI®.
You can re-attempt it immediately.
Usually, it takes about 48 hours to receive the certificate from the date of passing the exam.
We hold a passing rate of 98.6% on the first attempt.
Data Science with R certification has no expiry; the certification has lifelong validity.

OUR ADVISORS

As a project management professional, I’ve seen organizations having more than one-third certified managers reach better success than organizations which do not. Getting these certifications will make significant contributions to putting your best foot forward in the management industry with increased earning power and impressive success.
Rodger MatrinPMI-PMP & PMI-ACP Instructor
Rodger Matrin
Having a PMP certification will show your capacity to perform and dedication to excel. It is a tool that will not only benefit you as an individual but also the organizations employing certified managers. So, whether you are an employer or an employee, a PMP certification goes a long way to help you outperform a competitive market in your field.
Michael CrawleyLead PMP-ACP, LSSGB-BB Instructor
Michael Crawley

FAQs

Learners need to possess an undergraduate degree or a high school diploma.

This Data Science with R certification training is beneficial for all aspiring data scientists including, IT professionals or software developers

Exam fee included with the course
We record the class sessions and provide them to participants after the session is conducted. If you miss a class, you can view the recording or you can attain the next class session.

The Data Science with R certification course includes:

  • Lifetime access to Conflict Management worth $299
  • 32 Contact Hours Certificate
  • Data Science with R classroom workshop conducted by an expert instructor
  • Data Science with R exam prep practice questions
  • Interactive Data Science with R workshop - Weekend and Weekday
  • Instructor-led Live-Online Training is also available on demand
  • 32 PDU’s to maintain the Credentials
You will earn 32 PDU’s from this course
Yes, do provide a money-back guarantee for some of our training programs. You can email to support for more information

STUDENT EXPERIENCES

I recently enrolled in the PMP training program and I was impressed by the professionalism and efficiency demonstrated by Sarah. The registration process was seamless, and all my queries were promptly addressed, setting the stage for a positive learning journey. The course was well structured, and the content was very comprehensive. The instructor's expertise in project management was evident throughout the training. He not only had a thorough grasp of the subject matter but also possessed the ability to convey complex concepts in a clear and comprehensible manner. His interactive teaching style and real-world examples made the learning process engaging and enjoyable. I would definitely recommend Excelsior Certification.
Nick Brand
Nick BrandSoftware Developer
I highly recommend the Conflict Management course at Excelsior Certification to anyone seeking to enhance their conflict resolution skills. The knowledge and insights gained from this training will undoubtedly prove invaluable in both personal and professional life. I left the course feeling empowered and better equipped to handle conflicts constructively. The exercises at the end of every chapter were an absolute highlight of the course. They provided a chance to apply the newly acquired knowledge in simulated conflict situations. This hands-on approach not only reinforced the concepts learned but also boosted my confidence in tackling conflicts proactively.
Emily Lane
Emily LaneSoftware Developer
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