R Programming for Beginners

Location
Online
Dates
Can be taken anytime (10 hours)
Course Type
Professional Training Course
Accreditation
Yes (Details)
Language
English
Price
$129 $13 only

Course Overview

R is a programming language and free software developed by Ross Ihaka and Robert Gentleman in 1993. R possesses an extensive catalog of statistical and graphical methods. It includes machine learning algorithms, linear regression, time series, statistical inference to name a few. Most of the R libraries are written in R, but for heavy computational tasks, C, C++ and Fortran codes are preferred.

Some of the deeper level learnings in R programming tutorial include R source code and R functions, R studio, R data types, command lines and command prompts, time-series analysis, linear regression and logistic regression, data frames, R objects, basic data, CRAN and Fortran code, assignment operators, read.table functions, normal distribution, ANOVA, generalized linear models, survival analysis, and more . There's lots to learning R and statistics, but an R tutorial on edX can help you master these concepts.

If you’re on a path to a career in data science or statistics, a course in R should definitely be on your list. Take an introductory course and add experience with this popular programming language to your resume. Get started coding with statistical software today!

Who should take this course

Anyone who would like to build a career in data science

Career options after graduation

R Programmer R Programming Application Developer Software Engineer (R) R Programmer Analytics

Accreditation

Certificate

Course content

Overview of R Programming Downloading and installing Help of Function Viewing documentation General issues in R Package Management Module: 2 Data Inputting in R

Data Types Subsetting Writing data Reading from csv files Creating a vector and vector operation Initializing data frame Control structure Re-directing R Output

About Course Provider

Uplatz is an innovative digital marketplace for smart learning. It is a tutor-based 1:1 learning platform. We have a strong network of qualified and experienced tutors providing hot courses (such as Big Data, Hadoop, SAP FICO, Informatica, Python, and more..) in a virtual classroom set-up.

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What more, we have a strong technical team with a mentor from IIT Kanpur! Digital, digital, digital...

Happy Learning at uplatz!

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