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R Programming Language Certification

Elevate your data-driven projects with our comprehensive R programming certification course. From installing essential libraries to mastering data structures, control statements, and custom functions, this course covers it all. Gain proficiency in data manipulation, querying, and basic visualization, and complete a practical case study to solidify your skills in R.

  • Beginner
  • 18 and older
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  • Online
  • 24 hours over 6 sessions

Start Dates (0) $1,699/person

No upcoming dates are currently available.

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Class Description

Description

Learn to lead data-driven projects with our R programming certification!

In this R Programming Language course, you will learn the following:

1. Intro to R Programming

  • What is R?
  • Why is it in demand?
  • Hands-on: No hands-on
2. Installing and Loading Libraries
  • Installation of R - step by step
  • Installing Libraries
  • Getting to know important Libraries
3. Data Structures in R
  • List
  • Vectors
  • Arrays
  • Matrices
  • Factors
  • String
  • Data Frames
4. Control & Loop Statements in R
  • For Loop
  • While Loop
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement
5. Functions in R
  • Writing your own functions (UDF)
  • Calling R Functions
  • Nested Function Calls in R
  • Functions with Arguments
  • Calling R Functions by passing Arguments
6. Loop Functions in R
  • apply
  • lapply
  • sapply
  • mapply
  • Tapply
7. String Manipulation & Regular Expression in R
  • stringr()
  • grep() & grepl()
  • regexpr() & gregexpr()
  • regexec()
  • sub() & gsub()
8. Working with Data in R
  • Reading data files in R
  • Reading data files from other Statistical Software
  • Writing files in R
  • Connecting to Databases from R
  • Data Manipulation & Analysis
9. Querying, Filtering, and Summarizing
  • Pipe operator for data processing
  • Using the dplyr verbs
  • Using the customized function within the dplyr verbs
  • Using the select verb for data processing
  • Using the filter verb for data processing
  • Using the arrange verb for data processing
  • Using mutate for data processing
  • Using summarise to summarize a dataset
10. Basic Data Visualization
  • Basic Data Visualization with standard libraries
11. Case Study
  • Case Study: R Programming
PREREQUISITES: While there are no prerequisites, participants would benefit if they have elementary programming knowledge.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

CANCELLATIONS BY THE PARTICIPANT

All Cancellations must be notified over email and the refunds will be provided as below:

  • Within 24 hours of registration: 95% refund
  • Less than 11 business days to the workshop: No refund. As a courtesy, we could allow you to apply 50% of your payment towards a future training program within one year of the cancellation date.
  • 1-4 business days prior to class and no-shows: No refund and no credit.

Refunds towards cancellations initiated by a customer will take up to 30 days from the receipt of written request for refund.


RESCHEDULES BY THE PARTICIPANT

All reschedules must be notified over email and the following rules will apply:

  • Greater than 11 business days to the workshop: Credit to a future workshop.
  • Less than 11 business days to the workshop: Credit to a future workshop + 10% (of Standard Course Fee) Reschedule charge.

Registrant substitutions may be made at any time.

Please note that if you do not cancel or do not attend, you would not be offered a refund nor will the amount be credited to a future training.


CANCELLATIONS / RESCHEDULES BY THE SCHOOL

The school reserves the right to substitute previously allocated presenters with alternative qualified presenters, if deemed necessary.

The school also reserves the right to cancel or reschedule events in case of insufficient registrations, or if presenters cannot attend due to unforeseen circumstances. You are therefore advised to consult a KnowledgeHut agent prior to making any travel arrangements for a workshop.

In case of a cancellation, you will be notified prior to the start date and will be offered full credit to a future event or a full refund less a 5% non-refundable registration fee, promptly.


REFUNDS FOR E-LEARNING COURSES

All cancellations must be notified over email and the refunds will be provided as below:

  • Within 48 hours of registration and before accumulating 30 minutes training: 95% refund or transfer to another online course.
  • After 48 hours of registration and after accumulating 30 minutes of training: No refund.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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KnowledgeHut

KnowledgeHut offers innovative, flexible learning solutions for professionals seeking to adapt to today's fast-paced workplace demands. With a focus on blended and e-learning methods, they provide practical training in technology and management, empowering individuals to excel in their careers.

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