Data Science with R Course

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      Data Science with R Course Overview

      Data Science with R Course in Marathahalli – Bangalore

      MNP Technologies located in Marathalli, Bangalore is a leading training institute providing real-time and placement oriented Data Science with R Training Courses in Bangalore. Our Data Science with R training course includes basic to advanced levels. we have a team of certified trainers who are working professionals with hands-on real-time Data Science with R projects knowledge which will provide you an edge over other training institutes.

      Our Data Science with R training center is well equipped with lab facilities and excellent infrastructure for providing you real-time training experience. We also provide certification training programs in Data Science with R Training.  We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion of the course. We provide placement support for our students.

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        Data Science with R Course Duration & Timings

        Our team of experts at MNP Technologies Training Institute, Bangalore have designed our Data Science with R Training course content and syllabus based on students requirements to achieve everyone’s career goal.  Our Data Science with R Training course fee is economical and tailor-made based on training requirement.

        We Provide regular training classes(daytime classes), weekend training classes, and fast-track training classes for Data Science with R Training in our centers located in Bangalore. We also provide Online Training Classes for Data Science with R Training Course.

        Contact us today to schedule a free demo and complete course details on Data Science with R Training Course.

        Data Science with R Course Syllabus

        Introduction to R
        •          What is R?
        •          Why R?
        •          Installing R
        •          R environment
        •          How to get help in R
        •          R Studio Overview
        Understanding R data structure
        •          Variables in R
        •          Scalars
        •          Vectors
        •          Matrices
        •          List
        •          Data frames
        •          Cbind,Rbind, attach and detach functions in R
        •          Factors
        •          Getting a subset of Data
        •          Missing values
        •          Converting between vector types
        R Programming
        •          While loop
        •          If loop
        •          For loop
        •          Arithmetic operations
        Charts and Plots
        •          Box plot
        •          Histogram
        •          Pie graph
        •          Line chart
        •          Scatterplot
        •          Developing graphs
        •          Cover all the current trending packages for Graphs
        Importing data
        •          Reading Tabular Data files
        •          Reading CSV files
        •          Importing data from excel
        •          Loading and storing data with clipboard
        •          Accessing database
        •          Saving in R data
        •          Loading R data objects
        •          Writing data to file
        •          Writing text and output from analyses to file
        Machine Learning Algorithm:
        •          Sentiment analysis with Machine learning
        •          C 5.0
        •          Support vector Machines
        •          K Means
        •          Random Forest
        •          Naïve Bayes algorithm
        Statistics:
        •          Correlation
        •          Linear Regression
        •          Non Linear Regression
        •          Predictive time series forecasting
        •          K means clustering
        •          P value
        •          Find outlier
        •          Neural Network
        •          Error Measure
        Leading Topics:
        •          Overture of R Shiny
        •          What is Hadoop
        •          Integration of Hadoop in R
        •          Data Mining using R
        •          Clinical research preface in R
        •          API in R (Twitter and Facebook)
        •          Word Cloud in R
        Manipulating Data
        •          Selecting rows/observations
        •          Rounding Number
        •          Creating string from variable
        •          Search and Replace a string or Number
        •          Selecting columns/fields
        •          Merging data
        •          Relabeling the column names
        •          Data sorting
        •          Data aggregation
        •          Finding and removing duplicate records
        Using functions in R
        •          Apply Function Family
        •          Commonly used Mathematical Functions
        •          Commonly used Summary Functions
        •          Commonly used String Functions
        •          User defined functions
        •          local and global variable
        •          Working with dates

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