Data Science using R gives the best statistical computing and design. Data science with R offers data exploration, visualization, predictive, and descriptive analytics techniques with R language. R is the most flexible and powerful analytic tool to develop statistical software and data analysis. R is trending now and has immense demand in the future. R is open-source, good data handling capability, graphical capabilities, advancements, and cost-efficient as compared to SAS statistical tool. R is also very simple and easy to learn.
Hachion Data Science with R online training provided by industry experts from end to end. Data Science using R course tutorial includes data science tools and techniques including cleaning, exploring, visualizing data using the R language. Through our Data science R language online course, you will learn about packages, structures, statistical concepts, cluster analysis, import/export data, and forecasting. By enhancing theoretical and practical knowledge one can easily appear for the Data Science certification exam.
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Training Fee: USD 426.7 20% Discount
What is R?
How to get help in R
R Studio Overview
Variables in R
Cbind, Rbind, attach and detach functions in R
Getting a subset of Data
Converting between vector types
Reading Tabular Data files
Reading CSV files
Importing data from excel
Loading and storing data with clipboard
Saving in R data
Loading R data objects
Writing data to file
Writing text and output from analyses to file
Creating string from variable
Search and Replace a string or Number
Relabeling the column names
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
Cover all the current trending packages for Graphs
Sentiment analysis with Machine learning
Support vector Machines
Naïve Bayes algorithm
Predictive time series forecasting
K means clustering
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 provide 100% job assistance to the Hachion students, once they complete the course. We also provide resume writing, mock interviews, and resume marketing services as part of our job assistance program.
We offer three modes of training in the Data Science online training program.
Basic Knowledge of Variables, Control Statements & Loops, etc., are enough to learn R With Data Science course. R is easy to learn & use for beginners compared to other programming languages.
This Data Science field intensively deals with mathematics, for analysis of data and algorithms. A decent mathematical background is necessary and we engineers definitely excel at that! If you have had a mathematical background at school and covered engineering mathematics (such as probability, statistics, linear algebra, etc/), you're good to go! Maybe you could just brush up the topics.
The course assumes a working knowledge of key data science topics (statistics, machine learning, and general data analytic methods). Programming experience in some language (such as R, MATLAB, SAS, Mathematica, Java, C, C++, VB, or FORTRAN) is expected. In particular, participants need to be comfortable with general programming concepts like variables, loops, and functions. Experience with Python is helpful (but not required).
This course is perfectly aligned with the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on a continual basis.
The average salary for Data scientists in the US is $124,244 per year - indeed