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Clinical R Programming course Training includes ✓ Features of R ✓Data Analysis in R ✓List of R Packages ✓R Clinical ✓Project ✓CDISC ✓STDM ✓TLF Training ✓Resume ✓Mock Interview ✓Job Assistance
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R programming is an opensource programming language where it is widely used in statistical software, data analysis and graphics. R language comes with the command line interface and is available on popularly used platforms like Windows, Linux and MacOS. The language names are the first letter of both developer’s names, whose names are Ross Ihaka and Robert gentleman. The use of R language is not limited for one sector it uses in banking, ecommerce, finance and more. This is the modern cuttingedge tool that millions of analysts, researchers, and big brands such as Facebook, Bingo, Wipro, Google, Accenture use to solve complex issues.
Course Name  Clinical R Programming With CDISC Course 
Duration  65 days / 1 Hr per day 
Training Days  Monday to Friday 
Live Class Recordings  Access Provided 
Materials  Life Time Access 
Software  Life Time Access 
Resume Preparation  Included In The Course 
Interview Preparation  Q&A Will Be Provided 
R Language Environment:
This R language is a integrated suite of software facilities like data manipulation, graphical and statistical display which includes:
· Virtual data handling and storage facility.
· The best operators which help in calculations on arrays and in particular matrices.
· For data analysis there are consistent, large, and integrated collections of tools.
· A simple and welldeveloped language which has conditional and userdefined recursive functions and input, output facilities.
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november,2024
Event Type
All
CDISC
CDM
Clinical R
CRA
Medical Coding
PV
sas
SAS Placement
sas tutorial
No Events
Responsibilities of R Programmer:
The responsibility of R programmers is that they have to maintain the database of conducted analysis. Other duties are designing statistical models, formulating procedures, technical assistance for clients and more. R programmers can develop machine learning tools, statistical analysis tools and data mining systems for businesses.
With this open source programming language we can build a clinical study database. R is regularly used for credit risk analysis at companies like ANZ and portfolio management. Finance industries are using R to analyze the movement of their stock market and to predict the value of shares.
Roles of R Programmer:
· Data Scientist.
· Data Architect.
· Geo Statisticians.
· R programmer.
· Quantitative Analysis with R.
· Data Visualization Analyst.
· Data Analyst.
Careers in R programming:
R is the most demanded programming language in the software development sector today. The higher demand of big data which leads to more demand for R language. The demand of R language is increasing day by day where it is highly efficient for data analysts.
In India the average salary of R programmers is 19.4 lakhs per annum and mostly ranging from 15.0 lakhs to 44.1 lakhs. The salaries of R programmers in the US from $72,000 to $1,08,000 and more programmers makes up to $90,000.
Who is Eligible To Learn This Course?
Any graduate or postgraduate from any background can learn this R language. Our training process starts from a very basic level and nonprogramming backgrounds also can learn easily and can get a job with the best pay.
Our Training Course:
Greatonlinetraining center is a famous training center where people can be trained by experienced trainers. It has 10 years of training experience in this R programming training. For beginners we will provide some demo classes to understand the detailed information of the R programming language. You can watch our demo class videos by registering on our website. In the demo session you will know the course details, duration, course materials and price of the course. The registration process is explained step by step on our site. Please check our site www.greatonlinetraining.com to get more information for our training courses.
Course Reviews
[saswpreviewscollection id="50079"]Course Currilcum

 R programming Demo Unlimited

 Overview of R programmer JOB Unlimited

 What is R? Unlimited
 What is S? Unlimited
 The S Philosophy Unlimited
 Back to R Unlimited
 Basic Features of R Unlimited
 Free Software Unlimited
 Design of the R System Unlimited
 Limitations of R Unlimited
 R Resources Unlimited

 Installation Unlimited
 Getting started with the R interface Unlimited

 Entering Input Unlimited
 Evaluation Unlimited
 R Objects Unlimited
 Numbers Unlimited
 Attributes Unlimited
 Creating Vectors Unlimited

 Explicit Coercion Unlimited
 Matrices Unlimited
 Lists Unlimited
 Factors Unlimited
 Missing Values Unlimited
 Data Frames Unlimited
 Names Unlimited

 Reading and Writing Data Unlimited
 Reading Data Files with read.table() Unlimited
 Reading in Larger Datasets with read.table Unlimited
 Calculating Memory Requirements for R Objects Unlimited
 Using the readr Package Unlimited

 Using dput() and dump() Unlimited
 Binary Formats Unlimited

 File Connections Unlimited
 Reading Lines of a Text File Unlimited
 Reading From a URL Connection Unlimited

 Subsetting a Vector Unlimited
 Subsetting a Matrix Unlimited
 Subsetting Lists Unlimited
 Subsetting Nested Elements of a List Unlimited
 Extracting Multiple Elements of a List Unlimited
 Partial Matching Unlimited
 Removing NA Values Unlimited

 Vectorized Matrix Operations Unlimited

 Dates in R Unlimited
 Times in R Unlimited
 Operations on Dates and Times Unlimited

 Data Frames Unlimited
 The dplyr Package Unlimited
 dplyr Grammar Unlimited
 Installing the dplyr package Unlimited
 select() Unlimited
 filter() Unlimited
 arrange() Unlimited
 rename() Unlimited
 mutate() Unlimited
 group_by() Unlimited
 %>% Unlimited

 ifelse Unlimited
 for Loops Unlimited
 Nested for loops Unlimited
 while Loops Unlimited
 repeat Loops Unlimited
 next, break Unlimited

 Functions in R Unlimited
 Your First Function Unlimited
 Argument Matching Unlimited
 Lazy Evaluation Unlimited
 The … Argument Unlimited
 Arguments Coming After the … Argument Unlimited

 A Diversion on Binding Values to Symbol Unlimited
 Scoping Rules Unlimited
 Lexical Scoping: Why Does It Matter? Unlimited
 Lexical vs. Dynamic Scoping Unlimited
 Application: Optimization Unlimited
 Plotting the Likelihood Unlimited

 Coding Standards for R Unlimited

 Looping on the Command Line Unlimited
 lapply() Unlimited
 sapply() Unlimited
 split() Unlimited
 Splitting a Data Frame Unlimited
 tapply Unlimited
 apply() Unlimited
 Col/Row Sums and Means Unlimited
 Other Ways to Apply Unlimited
 mapply() Unlimited
 Vectorizing a Function Unlimited

 Before You Begin Unlimited
 Primary R Functions Unlimited
 grep() Unlimited
 grepl() Unlimited
 regexpr() Unlimited
 sub() and gsub() Unlimited
 regexec() Unlimited

 Something’s Wrong! Unlimited
 Figuring Out What’s Wrong Unlimited
 Debugging Tools in R Unlimited
 Using traceback() Unlimited
 Using debug() Unlimited
 Using recover() Unlimited

 Using system.time() Unlimited
 Timing Longer Expressions Unlimited
 The R Profiler Unlimited

 Generating Random Numbers Unlimited
 Setting the random number seed Unlimited
 Simulating a Linear Model Unlimited
 Random Sampling Unlimited

 Synopsis Unlimited
 Loading and Processing the Raw Data Unlimited
 Results Unlimited

 Hidden Parallelism Unlimited
 Embarrassing Parallelism Unlimited
 The Parallel Package Unlimited
 Example: Bootstrapping a Statistic Unlimited

 ASSIGNMENT TO ANALYSIS POPULATIONS 24 HOURS with R Unlimited

 STUDY VISITS 24 HOURS with R Unlimited

 WITHDRAWALS FROM THE STUDY 24 HOURS with R Unlimited

 ABNORMAL BIOCHEMISTRY VALUES 24 HOURS with R Unlimited

 16. VITAL SIGNS 24 HOURS with R Unlimited

 SERIOUS ADVERSE EVENTS 24 HOURS with R Unlimited

 SUBJECT ASSIGNMENT TO ANALYSIS POPULATIONS 24 HOURS with R Unlimited

 SUBJECT DISPOSITION BY TREATMENT (SAFETY POPULATION) 24 HOURS with R Unlimited

 SUBJECT DEMOGRAPHICS – AGE (SAFETY POPULATION) 24 HOURS with R Unlimited

 SUBJECT DEMOGRAPHICS (SAFETY POPULATION) 24 HOURS with R Unlimited

 SUBJECT DEMOGRAPHICS SEX AND RACE (SAFETY POPULATION) 24 HOURS with R Unlimited

 TREATMENT EMERGENT ADVERSE EVENTS BY TREATMENT, SYSTEM ORGAN CLASS AND PREFERRED TERM (SAFETY POPULATION) 24 HOURS with R Unlimited

 SUMMARY OF CHANGES IN VITAL SIGNS FROM BASELINE TO FINAL VISIT (SAFETY POPULATION) 24 HOURS with R Unlimited

 MEDICAL HISTORY BY TREATMENT, SYSTEM ORGAN CLASS AND PREFERRED TERM (SAFETY POPULATION) 24 HOURS with R Unlimited

 BEST OVERALL RESPONSE (SAFETY POPULATION) 24 HOURS with R Unlimited

 SURVIVAL ESTIMATES (SAFETY POPULATION) 24 HOURS with R Unlimited

 CREATININE (UMOL/L) LEVEL BY AGE RANGE (SAFETY POPULATION) 24 HOURS with R Unlimited

 DISTRIBUTION OF BLOOD PRESSURE (SAFETY POPULATION) 24 HOURS with R Unlimited

 DISTRIBUTION OF MAXIMUM LIVER FUNCTION TEST VALUES BY TREATMENT (SAFETY POPULATION) AND KAPLANMEIER SURVIVAL PLOT (ENROLLED POPULATION) 24 HOURS with R Unlimited

 ADAM OVERVIEW 24 HOURS with R Unlimited

 ADSL PART03 24 HOURS with R Unlimited

 ADSL PART 04 24 HOURS with R Unlimited

 ADSL FINAL PART & ADDV 24 HOURS with R Unlimited

 ADAE 24 HOURS with R Unlimited

 ADAE 24 HOURS with R Unlimited

 ADCM 24 HOURS with R Unlimited

 ADMH 24 HOURS with R Unlimited

 ADVS 24 HOURS with R Unlimited

 ADVS 24 HOURS with R Unlimited

 ADRS 24 HOURS with R Unlimited

 ADRS 24 HOURS with R Unlimited

 ADTTE 24 HOURS with R Unlimited

 SDTM OVERVIEW & TRAIL DOMAINS 24 HOURS with R Unlimited

 DM 24 HOURS with R Unlimited

 DM 24 HOURS with R Unlimited

 DM 24 HOURS with R Unlimited

 AE 24 HOURS with R Unlimited

 AE 24 HOURS with R Unlimited

 MH 24 HOURS with R Unlimited

 CM & SUPP CM 24 HOURS with R Unlimited

 TU 24 HOURS with R Unlimited

 TR 24 HOURS with R Unlimited

 DEFINE.XML ,PINNACLE 21 ,VALIDATION OF TFL 24 HOURS with R Unlimited

 MATERIAL RELATED INTERVIEW QUESTIONS, ISS ISE OVERVIEW, POPULATION FLAGS, RESUMES &TIPS 24 HOURS with R Unlimited