Trusted by enterprises across the globe


Designed for all your training needs

Flexible On-Demand Group Learning
Flexible, corporate learning for groups, accessible anytime, anywhere.

Instructor-Led Live, Online Training
Real-time, interactive classes taught by SME via web conferencing.

Independent Self-Paced Learning
Individual learning at your own speed, with access to digital materials.

Customized On-Site Training
Customized, face-to-face training sessions delivered at your location.
Curriculum Designed by Experts

Empower your team with Data Analytics with R Programming Certification Corporate Training from Multisoft Virtual Academy. This expert-led course covers data manipulation, visualization, and statistical analysis using R. Designed for corporate professionals, it ensures hands-on learning with real-world projects, enhancing data-driven decision-making. Gain industry-recognized certification and boost your team’s analytical capabilities.
Data Analytics with R training is a specialized course designed to teach participants how to perform advanced data analysis using the R programming language. This training covers data manipulation, statistical analysis, predictive modeling, and data visualization techniques. Aimed at equipping professionals with the skills to extract insights from data, the course emphasizes practical applications in real-world scenarios, making it ideal for those looking to enhance their analytical capabilities in various industries.
- Introduction to terms Business Intelligence, Business Analytics, Data, Information
- How information hierarchy can be improved/introduced
- Understanding Business Analytics and R
- Knowledge about the R language, its community, and its ecosystem
- Understand the use of 'R' in the industry
- Compare R with other software in analytics
- Install R and the packages useful for the course
- Perform basic operations in R using the command line
- Learn the use of IDE R Studio and Various GUI
- Use the ‘R help’ feature in R
- Knowledge about the worldwide R community collaboration

- Various kinds of data types in R and their appropriate uses
- Built-in functions in R like seq(), cbind (), rbind(), merge()
- Knowledge of the various subsetting methods
- Summarize data by using functions like: str(), class(), length(), nrow(), ncol()
- Use of functions like head(), tail() for inspecting data
- Indulge in a class activity to summarize data
- dplyr package to perform SQL join in R

- Steps involved in Data Cleaning
- Functions used in Data Inspection
- Tackling the problems faced during Data Cleaning
- Uses of the functions like grepl(), grep(), sub(), Coerce the data, uses of the apply() functions

- Import data from spreadsheets and text files into R
- Import data from other statistical formats like sas7bdat and spss, packages
- Installation used for database import
- Connect to RDBMS from R using ODBC
- Basic SQL queries in R
- Basics of Web Scraping

- Exploratory Data Analysis(EDA)
- Implementation of EDA on various datasets
- Boxplots
- Understanding the cor() in R
- EDA functions like summarize(), llist()
- Multiple packages in R for data analysis
- Fancy plots like the Segment plot, and HC plot in R

- Data Visualization
- Graphical functions present in R
- Plot various graphs like tableplot, histogram, and Boxplot
- Customizing Graphical Parameters to improvise plots
- Understanding GUIs like Deducer and R Commander
- Introduction to Spatial Analysis

- Introduction to Data Mining
- Understanding Machine Learning
- Supervised and Unsupervised Machine Learning Algorithms
- K-means Clustering

- Association Rule Mining
- User Based Collaborative Filtering (UBCF)
- Item Based Collaborative Filtering (IBCF)

- Linear Regression
- Logistic Regression

- Analysis of Variance (Anova) Technique
- Sentiment Analysis: fetch, extract and mine live data from Twitter

- Decision Tree
- Entropy
- Gini Index
- Pruning and Information Gain
- Algorithm for creating Decision Trees
- Bagging of Regression and Classification Trees
- Random Forest
- Working on Random Forest
- Features of Random Forest, among others

- Analyze census data to predict insights on the income of the people based on the factors like age, education, work class, and occupation using Decision Trees
- Logistic Regression and Random Forest
- Analyze the Sentiment of Twitter data, where the data to be analyzed is streamed live from Twitter, and sentiment analysis is performed on the same

Free Career Counselling
We are happy to help you 24/7Multisoft Corporate Training Features
Outcome centric learning solutions to meet changing skill-demand of your organizationWide variety of trainings to suit business skill demands
360° learning solution with lifetime access to e-learning materials
Choose topics, schedule and even a subject matter expert
Skilled professionals with relevant industry experience
Customized trainings to understand specific project requirements
Check performance progress and identify areas for development
Free Data Analytics with R Programming Certification Training Assessment
Right from the beginning of learning journey to the end and beyond, we offer continuous assessment feature to evaluate progress and performance of the workforce.
Try it Now
Data Analytics with R Programming Certification Training Certification
Related Courses
A Role Based Approach To Digital Skilling
A roadmap for readying key roles in your organization for business in the digital age.

