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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

Course Access

Life Time for Videos

Training Days Per Week

5 Days

Training Hours Per Day

1 Hour

Students Enrolled

478

Course Duration

2 months, 2 weeks

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R Clinical Programming Training by Ranjeet

R programming is an open-source 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, e-commerce, finance and more. This is the modern cutting-edge tool that millions of analysts, researchers, and big brands such as Facebook, Bingo, Wipro, Google, Accenture use to solve complex issues. 

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    Brief details of this course training

    Name of the CourseClinical R Programming Full Course
    Duration85 days / 1 hr per day
    Training DaysMonday to Friday(EST)
    Course MaterialsVideos, Books

    As per world health organization (WHO), Pharmacovigilance is the science and activities relating to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem.

    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 well-developed language which has conditional and user-defined recursive functions and input, output facilities.

    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 non-programming 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. 

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    This Course Features

    Unlimited training Attempts

    Pay once and get life-time training access

    Daily Class Recordings

    Get life-time access for daily class recordings along with training

    24/7 support

    Support available for 24/7

    Resume and Interview Preparation

    Help in resume and interview preparation along with training

    Course Curriculum

      • 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
      • if-else 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 KAPLAN-MEIER SURVIVAL PLOT (ENROLLED POPULATION) 24 HOURS with R Unlimited
      • ADAM OVERVIEW 24 HOURS with R Unlimited
      • ADSL PART-03 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
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