50 Hrs
2681+ Enrollments
Business Analytics with R Training
The Business Analytics with R Training course is perfect for individuals looking to develop their skills in data analytics, as well as professionals in the field looking to enhance their existing knowledge. Our course covers the fundamentals of the R programming language, statistical analysis, and data visualization techniques. With our hands-on approach, you'll be able to apply your newly acquired skills to real-world business scenarios.
50 Hrs
2681+ Enrollments
Business Analytics with R Training
Business Analytics
Overview of Course
Our Business Analytics with R training is designed to equip you with the skills needed to analyze business data using the powerful R programming language. Through hands-on exercises and practical examples, you'll learn how to perform data visualization, data manipulation, and statistical analysis.
Course Highlights
In-depth training on R programming language and its application
Hands-on learning through practical exercises and real-world case studies
Comprehensive coverage of statistical analysis techniques and more<br /><br />
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Trusted by over 100+ Fortune 500 Companies
We help organizations deliver right outcomes by training talent
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
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Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
#1
R programming language fundamentals
#2
Data visualization using R libraries like ggplot2
#3
Statistical analysis techniques, including hypothesis testing and regression analysis
#4
Data manipulation and cleaning techniques using dplyr and tidyr
#5
Practical application of R to real-world business scenarios
Training Options
1-on-1 Training
On Request
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
On Request
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
For Corporates
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability
- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- 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
- Learn the use of IDE R Studio and Various GUI
- Use the ‘R help’ feature in R
- Knowledge about the worldwide R community collaboration.
- The various kinds of data types in R and its appropriate uses
- 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
- Indulge in a class activity to summarize data in R
- 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
- Understanding the Exploratory Data Analysis (EDA)
- Implementation of EDA on various datasets in R
- Box plots
- Understanding the cor() in R
- EDA functions like summarize()
- llist()
- Multiple packages in R for data analysis
- The Fancy plots like Segment plot and HC plot in R.
- 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 Spatial Analysis in R
- Introduction to Data Mining in R
- Understanding Machine Learning
- Supervised and Unsupervised Machine Learning Algorithms in R
- K-means Clustering.
- Data Mining: Association Rule Mining And Sentiment Analysis
- Association Rule Mining in R
- Sentiment Analysis.
- Linear Regression in R
- Logistic Regression in R
- Anova
- Predictive Analysis.
- 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
- Features of Random Forest in R
Contact Learning Advisor
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Individuals looking to develop their skills in data analytics
- Professionals in the field looking to enhance their existing knowledge of business analytics
- Data analysts and business analysts looking to learn R programming language for data analysis
Prerequisite:
- Basic understanding of statistics and data analysis concepts
- Prior experience with programming languages is not required
Benefits of the course:
- Develop expertise in R programming language and its application to business analytics
- Acquire in-demand skills for career growth opportunities
- Work on real-world projects to build a strong portfolio
- Gain practical experience through hands-on exercises and case studies
- Access to dedicated mentorship and support
Exam details to pass the course:
- No exams are required to pass the course
- Participants are required to complete all assignments and projects to receive a certificate of completion
Certification path:
- No certification is required to learn this course
- Participants will receive a certificate of completion upon successfully finishing the course
Career options:
- Data Analyst
- Business Analyst
- Data Scientist
- Business Intelligence Analyst
- Marketing Analyst
- Why should you take th
Why should you take this course from Skillzcafe:
Why should you take this course from Skillzcafe:
Comprehensive course content developed by industry experts- Hands-on learning through practical exercises and real-world case studies
- Access to dedicated mentorship and support
- Flexible learning options with online classes and self-paced learning modules
- Certificate of completion upon successful course completion
FAQs
The Business Analytics with R Training course is a 60-hour program.
Prior experience with programming languages is not required, but a basic understanding of statistics and data analysis concepts is recommended.
The course covers a range of projects, including data cleaning and preparation, exploratory data analysis, hypothesis testing, and regression analysis. Projects are designed to be applicable to real-world business scenarios.
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