R Programming Online Training

About R Programming Online Training
Course Objectives
What are the Course Objectives?
After completion of the R Language Online Training Course at Naresh I technologies, you will be expertise and eligible for:
- Complete knowledge of R LanguageÂ
- Learn how to use natively in R studio interface
- Learn how to handle add-on packages
- Get knowledge how to make basic graphs
- Learn command on R programming
- Able to handle the Project independently
Who should go for this Course?
- Any IT experienced Professional who are interested to build their career in web develop by implementing data analysis feature.
- 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 :
- Statistic
- Mathematics
- Data Structure
Course Curriculum
- Introduction to R
- Business Analytics
- Analytics concepts
- The importance of R in analytics
- R Language community and eco-system
- Usage of R in industry
- Installing R and other packages
- Perform basic R operations using command line
- Usage of IDE R Studio and various GUI
- The datatypes in R and its uses
- Built-in functions in R
- Subsetting methods
- Summarize data using functions
- Use of functions like head(), tail(), for inspecting data
- Use-cases for problem solving using R
- Various phases of Data Cleaning
- Functions used in Inspection
- Data Cleaning Techniques
- Uses of functions involved
- Use-cases for Data Cleaning using R
- Import data from spreadsheets and text files into R
- Importing data from statistical formats
- Packages installation for database import
- Connecting to RDBMS from R using ODBC and basic SQL queries in R
- Web Scraping
- Other concepts on Data Import Techniques
- What is EDA?
- Why do we need EDA?
- Goals of EDA
- Types of EDA
- Implementing of EDA
- Boxplots, cor() in R
- EDA functions
- Multiple packages in R for data analysis
- Some fancy plots
- Use-cases for EDA using R
- Story telling with Data
- Principle tenets
- Elements of Data Visualization
- Infographics vs Data Visualization
- Data Visualization & Graphical functions in R
- Plotting Graphs
- Customizing Graphical Parameters to improvise the plots
- Various GUIs
- Spatial Analysis
- Other Visualization concepts
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I am Shruthika. I learned NodeJS through online here, the faculty was awesome who had industry experience and explained the various services available in NodeJS clearly. The course was delivered on time and we had a couple of days to explore other services in NodeJS. I would recommend this institute to my friend
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