Transform Data into Actionable Insights with R
Data Science with R Training in Chennai
Are you still getting stuck with choosing a program for Data Science? BITA provides Data Science with R Training in Chennai from industry experts that will help you gain the necessary skills to use R programming. Our Data Science with R Course in Chennai will help you learn data exploration, visualization, predictive analytics, and descriptive analytics techniques using the R language. Understand R packages, data import, and export in R, data structures in R, various statistical concepts, and cluster analysis and prediction.
What is R Programming?
R is a language and environment for statistical calculations and graphics. R offers a wide range of linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality graphs can be created, including formulas and formulas as needed. Great care has been taken in the default settings for minor graphics design decisions, but the user retains complete control.
How is R used in Data Science?
R for Data Science focuses on the statistical and graphical use of the language. Learn R for Data Science and learn how to use this language to perform statistical analysis and develop data visualizations. R’s statistics make it easy to clean up, import, and analyze your data.
- R is open-source software. Its interface allows integration with other applications and systems. Open source programming has an exclusive requirement of value since it is utilized and rehashed by numerous individuals.
- R provides objects, operators, and functions that allow users to explore, model, and visualize data.
- R is used for data analysis. Data Science R is used to process, store, and analyze data. It is very well used for data analysis and statistical modeling.
- R is a statistical analysis environment. R has a variety of statistical and graphic features. The R foundation states that it can be used for classification, clustering, statistical testing, linear and nonlinear modeling.
- R is a community. R project contributors include people who have suggested improvements, noticed bugs and created add-on packages.
Features of Data Science with R
- The number of R users is increasing year by year, and the resources for learning data science using R are growing.
- Facebook uses R to update its status and its social network graph.
- Ford Company uses Hadoop and R for statistical analysis.
- Google uses R to calculate the ROI of an ad to drive economic activity. Many brands use R to design vehicles and monitor the user experience.
- R can be used to perform text analysis of tweets. Text analysis and scraping of Twitter data are possible via the Twitter package. n
- According to Google Developers, the R can be combined with Google Analytics data to perform statistical analysis and create clear data visualizations. Installing the R Google Analytics package enables these insights.
Join our Data Science with R Training in Chennai and use the job opportunities available for Data Analysts.
Are you still getting stuck with choosing a program for Data Science? BITA provides Data Science with R Training in Chennai from industry experts that will help you gain the necessary skills to use R programming. Our Data Science with R Course in Chennai will help you learn data exploration, visualization, predictive analytics, and descriptive analytics techniques using the R language. Understand R packages, data import, and export in R, data structures in R, various statistical concepts, and cluster analysis and prediction.
R is a language and environment for statistical calculations and graphics. R offers a wide range of linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality graphs can be created, including formulas and formulas as needed. Great care has been taken in the default settings for minor graphics design decisions, but the user retains complete control.
R is a language and environment for statistical calculations and graphics. R offers a wide range of linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality graphs can be created, including formulas and formulas as needed. Great care has been taken in the default settings for minor graphics design decisions, but the user retains complete control.
R for Data Science focuses on the statistical and graphical use of the language. Learn R for Data Science and learn how to use this language to perform statistical analysis and develop data visualizations. R’s statistics make it easy to clean up, import, and analyze your data.
- R is open-source software. Its interface allows integration with other applications and systems. Open source programming has an exclusive requirement of value since it is utilized and rehashed by numerous individuals.
- R provides objects, operators, and functions that allow users to explore, model, and visualize data.
- R is used for data analysis. Data Science R is used to process, store, and analyze data. It is very well used for data analysis and statistical modeling.
- R is a statistical analysis environment. R has a variety of statistical and graphic features. The R foundation states that it can be used for classification, clustering, statistical testing, linear and nonlinear modeling.
- R is a community. R project contributors include people who have suggested improvements, noticed bugs and created add-on packages.
Features of Data Science with R
- The number of R users is increasing year by year, and the resources for learning data science using R are growing.
- Facebook uses R to update its status and its social network graph.
- Ford Company uses Hadoop and R for statistical analysis.
- Google uses R to calculate the ROI of an ad to drive economic activity. Many brands use R to design vehicles and monitor the user experience.
- R can be used to perform text analysis of tweets. Text analysis and scraping of Twitter data are possible via the Twitter package. n
- According to Google Developers, the R can be combined with Google Analytics data to perform statistical analysis and create clear data visualizations. Installing the R Google Analytics package enables these insights.
Join our Data Science with R Training in Chennai and use the job opportunities available for Data Analysts.
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Data Science with R certification is advantageous for all emerging data scientists, including IT professionals and software developers who want to record carrier changes in data analysis and experts working with business analysis. We have experienced experts who wish to use data science careers and experts who want to use data science in their areas. There are no prerequisites for this Data Science with R certification course. If you are new to data science, this is one of the best courses to start from scratch. BITA provides you with all the certification courses and Data Science with R Training in Chennai
Certification
- Statistics With R Certification
- Data Science with R Basics Certification
- Advanced Analytics in R Certification
Data science adds much of the work and global economy. The r language is created to run data analysis, statistics, and graphical models. Libraries have over 5,000 packages. R is the most powerful data visualization tool and is popular in GGPLOT2. Industries convert raw data into data products, and R performs statistics in the primary choice of one skilled in the art. R is famous for its graphics library that can be used to create interactive graphics. R provides the ability to connect your code to a database management system. That’s why R is called a complete language. The average salary of a data scientist with R skills is Rs 5-9 LPA. sign up for Data Science with R Training in Chennai
Job you can land with Data Science
What you will learn?
- What do you know about Data Science?
- How is Machine Learning useful for Data Science?
- Is Deep Learning important?
- What is Data Analytics?
- Types of Data Analytics
- A Brief note about R
- How do we need to Install R?
- How do we need to install R Studio?
- Deep Dive on usage of R in the real world
- What is Vectors?
- How to create Vectors?
- How to use [] brackets?
- Vectorized Operations
- Functions in R
- Packages in R
- What do you know about Matrices?
- How to build your First Matrix?
- How to Name Dimensions?
- Colnames() and Rownames()
- Matrix Operations
- How to Visualize with Matplot()
- Create your first function
- Import Data using R
- Explore your Data Set
- How to use the $ Sign?
- Basic Operations with a Data Frame
- Filter a Data Frame
- An Overview of qplot
- How to Build Data Frames?
- How to Merge Data Frames?
- What is a Factor?
- What do you know about Aesthetics?
- How to Plot with Layers?
- How to Override Aesthetics?
- Compare Mapping and Setting
- Histograms and Density Charts
- Statistical Transformations
- How to use Facet?
- Coordinates
- How to add themes?
- How to import Data in R?
- What is the Apply family?
- How to use apply()?
- Recreate the apply function with loops
- How to combine lapply() with []?
- Add your own functions
- How to use sapply()?
- Nesting apply() functions?
- Deep Dive on Linear Regression
- An Overview of Logistic Regression
- K-Means
- K-Means++
- What do you know about Hierarchical Clustering?
- What is CART?
- Random Forest
- Naïve Bayes
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