R Programming Language Training Course

R Programming Language Training Course For Beginners

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R Programming Language Training Course For Beginners Summary

 

R Programming Language Training Course For Beginners is a 4 weeks long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 16 hours, 2 sessions per week, 2 hours per session.

  • This course is meant for beginners who would like to learn everything about
    R Programming Language.
  • The medium of instruction is English.
  • All Published Ticket Prices are in US Dollars.

R Programming Language Training Course For Beginners Schedule

 

Please choose from one of the dates in the table below to begin your enrollment :

Dates Weekly Schedule (US Pacific Time)* Price Add to Cart
Dec 6 to Dec 29 Mon/Wed 5:30 PM - 7:30 PM each day $394.00 Add to cart
Dec 7 to Dec 30 Tue/Thu 7:30 AM - 9:30 AM each day $394.00 Add to cart
Jan 8 to Jan 30 Sat/Sun 7:30 AM - 9:30 AM each day $394.00 Add to cart
Jan 10 to Feb 2 Mon/Wed 5:30 PM - 7:30 PM each day $394.00 Add to cart
Jan 11 to Feb 3 Tue/Thu 7:30 AM - 9:30 AM each day $394.00 Add to cart
Feb 5 to Feb 27 Sat/Sun 7:30 AM - 9:30 AM each day $394.00 Add to cart
Feb 7 to Mar 2 Mon/Wed 5:30 PM - 7:30 PM each day $394.00 Add to cart
Feb 8 to Mar 3 Tue/Thu 7:30 AM - 9:30 AM each day $394.00 Add to cart
Mar 14 to Apr 6 Mon/Wed 6:30 PM - 8:30 PM each day $394.00 Add to cart
Mar 15 to Apr 7 Tue/Thu 8:30 AM - 10:30 AM each day $394.00 Add to cart
Mar 19 to Apr 10 Wed/Sun 8:30 AM - 10:30 AM each day $394.00 Add to cart
*click on date/time hyperlink to add your location and find local date/time for first session
Dates and Weekly Schedule (US Pacific Time)* Price
Dec 6 to Dec 29
Mon/Wed 5:30 PM - 7:30 PM each day
$394.00
Enroll
Dec 7 to Dec 30
Tue/Thu 7:30 AM - 9:30 AM each day
$394.00
Enroll
Jan 8 to Jan 30
Sat/Sun 7:30 AM - 9:30 AM each day
$394.00
Enroll
Jan 10 to Feb 2
Mon/Wed 5:30 PM - 7:30 PM each day
$394.00
Enroll
Jan 11 to Feb 3
Tue/Thu 7:30 AM - 9:30 AM each day
$394.00
Enroll
Feb 5 to Feb 27
Sat/Sun 7:30 AM - 9:30 AM each day
$394.00
Enroll
Feb 7 to Mar 2
Mon/Wed 5:30 PM - 7:30 PM each day
$394.00
Enroll
Feb 8 to Mar 3
Tue/Thu 7:30 AM - 9:30 AM each day
$394.00
Enroll
Mar 14 to Apr 6
Mon/Wed 6:30 PM - 8:30 PM each day
$394.00
Enroll
Mar 15 to Apr 7
Tue/Thu 8:30 AM - 10:30 AM each day
$394.00
Enroll
Mar 19 to Apr 10
Wed/Sun 8:30 AM - 10:30 AM each day
$394.00
Enroll
*click on date/time hyperlink to add your location and find local date/time for first session

Course Objectives

 
  • Understand programming fundamentals of R language
  • Understand various data import methods in R
  • Understand the Data Manipulation in R
  • Create visualizations and Plots using R
  • Understand and Implement Linear Regression
  • Perform Text Analysis
  • Understand R Programming Language concepts
  • Real-time implementation of R on a live project and provide Business Insights

Features and Benefits

 
  • 4 weeks, 8 sessions, 16 hours of total Instructor-led and guided training
  • Training material, instructor handouts and access to useful resources on the cloud provided
  • Practical Hands-on Lab exercises provided
  • Actual code and scripts provided
  • Real-life Scenarios

Who should attend ?

 
  • Software engineers and data analysts
  • Business intelligence professionals
  • SAS developers wanting to learn open source technology
  • Those aspiring for a career in data science
  • Professionals and Students looking to enter the Data Science industry

Prerequisites

 
  • Programming background like C, C++, Python will be an added advantage but not mandatory to learn R, but introductory statistics is a prerequisite.

Course Outline

 

1. Essential to R programming

  • An Introduction to R
  • Introduction to the R language
  • Programming statistical graphics
  • Programming with R
  • Simulation
  • Computational linear algebra
  • Numerical optimization

2.Data Manipulation Techniques using R programming

  • Data in R
  • Reading and Writing Data
  • R and Databases
  • Dates
  • Factors
  • Subscribing
  • Character Manipulation
  • Data Aggregation
  • Reshaping Data

3. Statistical Applications using R programming

  • Basics
  • The R Environment
  • Probability and distributions
  • Descriptive statistics and graphics
  • One- and two-sample tests
  • Regression and correlation
  • Analysis of variance and the Kruskal–Wallis test
  • Tabular data
  • Power and the computation of sample size
  • Advanced data handling
  • Multiple Regression
  • Linear models
  • Logistic regression
  • Survival analysis
  • Rates and Poisson regression
  • Nonlinear curve fitting

Refund Policy

 
  • 100% refund can be applied if request is initiated 24 hours before the 1st course session.
  • If a class is rescheduled/cancelled by the organizer, registered students will be offered a credit towards any future course or a 100% refund