R Programming Certification Training
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Learners : 1080
Duration : 30 Days
About Course
R programming is primarily used for statistical computing and data visualization. It’s a powerful tool for data analysis, machine learning, and creating statistical graphics, making it a popular choice in fields like data science, bioinformatics, and finance. Enroll today to get Certified.
R Programming Training Course Syllabus
✔ Loading Packages
✔ Installing Packages
✔ Unloading Packages
✔ Integer
✔ Double
✔ Logical
✔ Character
✔ Vectors
✔ Lists
✔ Matrix
✔ Data Frames
✔ Arrays
✔ CSV Files
✔ Excel Sheets
✔ Databases
✔ SAS Files
✔ SPSS Files
✔ STATA Files
✔ URL Etcs
✔ Min, Max, Range
✔ Mean, Median
✔ variance,
✔ Standard Deviation
✔ Quantiles
✔ Categorical Values
✔ DPLYR
✔ TIDYVERSE
✔ TIDYR
✔ ggplot2
✔ Lattice
Live Instructor Based Training With Software |
Lifetime access and 24×7 support |
Certification Oriented content |
Hands-On complete Real-time training |
Get a certificate on course completion |
Flexible Schedules |
Live Recorded Videos Access |
Study Material Provided |
R Programming Training - Upcoming Batches
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Live Virtual Training
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Schedule your sessions at your comfortable timings.
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Instructor-led training, Real-time projects
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Certification Guidance.
Self-Paced Learning
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Complete set of live-online training sessions recorded videos.
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Learn technology at your own pace.
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Get access for lifetime.
Corporate Training
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Learn As A Full Day Schedule With Discussions, Exercises,
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Practical Use Cases
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Design Your Own Syllabus Based
R Programming Training FAQ'S
At the University of Auckland in New Zealand, Ross Ihaka and Robert Gentleman developed R, an interpreted programming language. It is a software environment used to examine graphical displays, reporting, and data modeling. The S programming language is implemented in R and combines with lexical scoping semantics.
A vector is a series of data elements of the same basic type. The members in the vector are known as a component.
The R object that contains elements of different types such as numbers, strings, vectors, or another list inside it, is known as List.
A two-dimensional data structure used to bind the vectors from the same length, known as the matrix. The matrix contains the same types of elements.
A Data frame is a generic form of a matrix. It is a combination of lists and matrices. In the Data frame, different data columns contain different data types.
There are the following packages that are used for data imputation
- MICE
- missFores
- Mi
- Hmisc
- Amelia
- imputeR
This function is used to initialize the private data members while declaring the object.
Get ahead in your career by learning R Programming through VISWA Online Trainings
A random walk is the simplest example of a non-stationary process. A random walk has no specified mean or variance, and strong dependence over time, and its changes or increments are white noise. Simulating random walk in R:
arima.sim(model=list(order=c(0,1,0)),n=40)->rw ts.plot(rw)
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