Business Analytics With R Online Training Objectives
- In this course, you will learn how to apply the R programming language to solve real-world business problems. The course covers topics such as data manipulation, predictive analytics, data visualization and machine learning.
- Online courses help you learn business analytics with R by providing interactive learning content, course materials and practice exercises. Many courses also have online forums where you can ask questions and receive feedback from instructors and fellow students.
- The concepts covered as part of this training include data manipulation, predictive analytics, data visualisation, machine learning, statistical analysis and forecasting, data mining, and the R programming language.
- Data Manipulation: Learn how to use R to manipulate and transform data.
- Data Visualization: Learn how to use R to create compelling visualisations.
- Statistical Analysis and Forecasting: Learn how to use R to analyse and forecast data.
- Data Mining: Learn how to use R to uncover patterns in data.
- Machine Learning: Learn how to use R to create predictive models.
The top 5 skill sets you will learn in business analytics with R are:
- Some of the job roles you can apply for after completing this course are business analyst, data scientist, machine learning engineer, data engineer, and data analyst.
- You can find assistance in preparing a business analytics with R training interview by attending online seminars, webinars, and workshops.You can also find online tutorials and resources that can help you improve your understanding of the R programming language and develop your skills in business analytics with R.
- Yes, there are many job opportunities for business analytics with R training. Companies such as Microsoft, IBM, Oracle, and Google hire professionals with expertise in business analytics with R. Additionally, many startups and small businesses are looking for individuals with experience in this field.
- The concepts covered as part of this training include data manipulation, predictive analytics, data visualisation, machine learning, statistical analysis and forecasting, data mining, text mining, and more. Additionally, you will be provided with an understanding of the R programming language, its syntax, and key commands.
- Business analytics with R is a valuable skill set to have in the modern business environment. Companies are increasingly relying on data to make decisions, and having a good understanding of the R programming language and data analysis techniques can help you stand out. Additionally,
- Introduction to the R programming language
- Data Manipulation and Visualization
- Building Predictive Models
- Data-driven decision making.
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
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Annual SalaryHiring Companies
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Business Analytics With R Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Business Analytics With R Course Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Business Analytics With R technologies :
Syllabus of Business Analytics With R Online Course Download syllabus
- Understand Business Analytics and R
- Knowledge on the R language
- Community and 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 command line
- The built-in functions in R like: seq(), cbind (), rbind(), merge()
- Knowledge on the various Sub-setting methods in R
- Summarize data by using functions like: str(), class(), length(), nrow(), ncol() in R
- Use of functions like head(), tail() for inspecting data
- The various steps involved in R for Data Cleaning
- Functions used in R for Data Inspection
- Tackling the problems faced during Data Cleaning
- Uses of the functions like grep(), sub()
- Coerce the data in R
- Uses of the apply() functions.
- Import data from spreadsheets and text files into R
- Import data from other statistical formats like sas7bdat and spss into R
- Package installation used for database import
- Connect to RDBMS from R using ODBC and basic SQL queries in R
- Basics of Web Scraping in R
- Implementation of EDA on various datasets in R
- Box plots
- Understanding the cor() in R
- EDA functions like summarize()
- Understanding on Data Visualization
- Graphical functions present in R
- Plot various graphs in R like table plot, histogram, box plot
- Customizing Graphical Parameters to improvise the plots
- Understanding GUIs like Deducer and R Commander
- Introduction to Data Mining in R
- Understanding Machine Learning
- Supervised and Unsupervised Machine Learning Algorithms in R
- K-means Clustering.
- Association Rule Mining in R
- Sentiment Analysis.
- Linear Regression in R
- Logistic Regression in R
- Decision Trees in R
- Algorithm for creating Decision Trees
- Greedy Approach: Entropy and Information Gain
- Creating a Perfect Decision Tree in R
- R Classification Rules for Decision Trees
- Concepts of Random Forest in R
- Working of Random Forest in R
- Analyse Census Data
- To predict insights on the income of the people based on the factors like : Age, education, work-class, occupation, etc.
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Industry Projects
Career Support
Our Hiring Partner
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Exam & Certification
- Participate and Complete One batch of Business Analytics With R Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Business Analytics With R course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
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- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.

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Business Analytics With R Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.

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