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Data Analysis Using R

This web-based training course on Data Analysis Using R functionality, administration and development, is available online to all individuals, institutions, corporates and enterprises in India (New Delhi NCR, Bangalore, Chennai, Kolkatta), US, UK, Canada, Australia, Singapore, United Arab Emirates (UAE), China and South Africa. No matter where you are located, you can enroll for any training with us - because all our training sessions are delivered online by live instructors using interactive, intensive learning methods.

Developed in the early 90s, R is an extremely powerful language which is being used extensively for data analysis and statistical computing. Over the years, R programming environment has progressed from a basic text editor to the interactive R studio and further, the Jupyter notebook which has helped in engaging data science implementations across the globe. R provides immense capabilities and power for implementing data analytics and developing powerful algorithms and models of data interpretation and manipulation. Using R studio, amazing work can be effectively done in the field of data science such as data manipulation, exploratory data analysis, data mining and visualization. With the help of R studio, real life and real time situations can be built and analyzed in order to derive results which are usable for organizations in taking the correct decisions and building effective business models. R also provides immense global community support with the inclusion of powerful analytics packages such as dplyr, tidyr, readr, data table, SparkR, ggplot which have been developed across the world. Such packages are being developed progressively and this makes inherent data manipulation, visualization and computation extremely fast.

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Course Details

This Data Analysis using R online training course is structured to provide the fundamental elementary knowledge of R programming language, its syntax, its structure, its processing and more. Further, in-depth understanding of the basic concepts of data manipulation, decision tree creation, exploratory analysis, collaborative filtering and more will be explained in detail. Through this data science with R training program, hands-on training exercises will be provided in R which will aim to provide an applicative and practical understanding of the language and the domain so that the trainees may be able to create and implement data science algorithms and data models. The entire knowledge base is provided through the implementation of R in R studio and jupyter notebooks with reference to data science. This Data Analysis with R online course has no pre-requisites but basic knowledge of mathematics and statistics will be required.

  • Introduction To R and data Analysis
  • Install R and R studio/ Jupyter notebooks
  • Working with directories in R
  • Getting help in R studio
  • Basic commands to be used
  • Common functions and their implementation
  • Data types used in R
  • Numbers
  • Characters
  • Logical variables and functions
  • Data frames with R
  • Using Lists in R
  • Working with External Data in R
  • R packages and their integration
  • Importing in R
  • Exporting in R
  • Control structures implementation in R
  • If-Else construct implementation in R
  • Using while for decision making
  • Using 'for' for decision making
  • Using Functions
  • Creating the first function
  • Complicated functions and their implementation
  • Graphs and their usage in R
  • Creating Lines an Scatter Charts
  • Creating Bar and Pie charts and exporting Graphs
  • Additional data types as used in R
  • Working with Named Vectors
  • Working with Matrixes
  • Using Dates and Times in R
  • Methods of Data mining
  • Reshaping data with reshape package
  • Reshaping data with plyr package

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