# Data Science with R

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Learn from the Real-Time Experts

Learn from the Real-Time Experts

R is an open source programming language. It combines Big data analysis, Simulation, graphics, etc. It is the leading and most flexible programming language. Also it is the most powerful. By using R the data science is more flexible. The Data Science with R combines a Statistical Modeling. By using R the Data Science is gaining on big-data analysis packages due to flexibility. Also, provides documentation and open-source.

**What are the Course Objectives?**

After completion of the data science with R Course, you will be expertise and eligible for:

- Complete knowledge of Data Science
- Able to analyze big data
- Able to work in Data Mining
- Able to work on Statistic
- Learn how to use different tool like Tableau, Map Reduce
- Creation of Decision tree
- Explore Big data concept

**Who should go for this course**

- Any IT experienced Professional who are interested to build their career in Development/ Data Scientist.
- Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
- Fresh Graduates.

**Pre-requisites**

The course can learn by any IT professional having basic knowledge of :

- Mathematics
- Statistic
- Any Programming Language

- What is R? - Why R? - Installing R - R environment - How to get help in R - R Studio Overview

- 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

- 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

- 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

- 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

- While loop - If loop - For loop - Arithmetic operations

- Box plot - Histogram - Pie graph - Line chart - Scatterplot - Developing graphs - Cover all the current trending packages for Graphs

- Sentiment analysis with Machine learning - C 5.0 - Support vector Machines - K Means - Random Forest - Naïve Bayes algorithm

- Correlation - Linear Regression - Non Linear Regression - Predictive time series forecasting - K means clustering - P value - Find outlier - Neural Network - Error Measure

- 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

We believe to provide our students the Best interactive experience as part of their learning

Do not hesitate to ask… because we will work according to your calendar

Students are provided with all the Real-Time and Relevant Scenarios

We Constantly evaluate our trainers and only the “Best” Provides the Training

Online training sessions are held Live and we provide students with the Training Videos

No Problem@ all…!!! Your Question will be answered by Us as soon as possible