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Online R Programming Courses for Data Science Enthusiasts: Apply Now!

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Data science is no more just one specific topic that engineers can look at to improve their data analysis. It branches out into more tactics and nuances to cater to individual analysis needs that over 100 topics are covered under it. R language programming is a programming language for statistical analysis, predictive modelling and data science. Listen Data is offering live online classes and free tutorials for different R programming to people who want to learn it.

The best part about this course is that if you are not satisfied in the first session, your money will be 100 per cent refunded without question. While tutorials give you a basic idea on each topic, the course has live sessions which enable you to interact with the tutors as they teach.

Also Read: Free Online Course on Computational Linear Algebra

Online R Programming Courses In Data Science

Free tutorials offered

  • Companies using R
  • Getting Started with R
  • Data Types (Structures) in R
  • Create Sample (Dummy) Data in R 
  • Importing Data into R 
  • Exporting Data in R
  • Copy Data from Excel to R
  • Loading and Saving Data with R
  • Data Exploration with R
  • Data Manipulation with R
  • Data Manipulation with dplyr package
  • Data Manipulation with data.table package
  • If Else and Nested If Else in R
  • Transpose Data with R
  • Loops with R
  • Error Handling in R
  • Converting a factor to integer
  • Character Functions
  • Apply Function on Rows
  • Keep / Drop Columns with R
  • Joining and Merging with R
  • Summarize Data with R
  • Indexing Operators in List
  • Split a data frame
  • Convert data from wide to long format
  • R Which Function Explained
  • How to Update R Software
  • Convert Backslash File Path to Forward Slash
  • Send Email From R
  • Run SQL Queries in R
  • Measuring Execution Time of R Code
  • Install an archived package
  • Delete columns where certain % of missing values
  • Converting multiple numeric variables to factor
  • Extracting Numeric and Factor Variables
  • Install R package from GitHub account
  • Password Generator App with R
  • Reading large CSV Files
  • Creating Dummy Columns From Categorical Variables
  • Convert Categorical Variables to Numeric
  • CARET Package [Part I]
  • CARET Package [Part II]
  • Create word cloud with R
  • Integrate R with PHP

Key topics covered:

  • Data mining
  • Machine learning 
  • Statistical techniques with R
  • Descriptive and inferential statistics
  • Linear and logistic regression
  • Time series
  • Variable selection and dimensionality reduction
  • Market basket analysis
  • Random forest
  • Ensemble technique
  • Clustering

When

15 July 2017

How to apply for the R programming courses?

In order to apply for the R programming courses follow the steps given here:

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