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Clinical R Programming: The Full Course – Learn How to Use R for Clinical Research
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✅ What can you learn in this course?
Beginners can learn R programming by this tutorial video by professional instructor. This video covers all basic topics of R tutorial which are using in Clinical trials. This video includes topics of R variables, lists, functions, data types, matrices, table creation, data structures and more with the code. Every function is explained clearly with the coding so non-technical students can learn easily.
Topics covered in this video
00:00 - Intro
00:19- Topics covered in this video
02:49- How R Programming is different from other languages
04:31- Use of Clinical R programming
05:53- Job opportunities after learn this course
06:59- List of companies offering R programming jobs
07:35- Different R programming roles
08:34- Reasons to learn R programming
09:30- How to apply for R programming jobs
11:06- Who are eligible to this course?
12:34- How much salary for one year experienced candidates?
13:21- Benefits for SAS programmer from this R programming course
14:20- Can I get a job as a fresher?
14:45: How to become a basic to Advanced R programmer in Next 4 hours
17:47- Instructor introduction
18:06-List of topics covered in this Video
18:27- Why R
19:56- Growth of R program Graph
20:39- Example of clinical trial process
32:17- Role of R programmer in clinical trails
39:03- Creation of Table listing figure in R programming
54:56- about CDISC
57:43- Potential of clinical R programming
1:01:03- Fundamentals of clinical R programming
1:06:05- History of R
1:07:28-Basic features of R programming
1:12:33- Design of the R system
1:21:21- Limitations of R
1:27:10- Download and installation of CRAN
1:31:46- Downloading R studio
1:40:37- About R studio
1:41:30- Creation of Variables, data structures in R
2:02:43- R Objects
2:07:49- R Data Types
2:10:11- Numbers
2:12:05- Creating Vectors
2:20:10- Attributes
2:29:33- Mixing Objects
2:38:35- Matrices
2:50:19- Creation of Lists
2:54:13- Factors
2:56:50- Missing values
3:00:33- Data frames
3:03:27- Names
3:09:06- Built-in function in R
3:31:12- How to read and write data in R
4:03:29- Binary formats
4:08:26- using serialize functions()
4:11:27- File connections
4:12:00- Reading lines of a text file
4:17:35- how to do subsetting lists
4:19:29- Nested lists
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