R Courses
Choose a course that suits your goals - from the basics to advanced skills in R programming.
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Gained skills:
Exploratory Data Analysis Data Preprocessing R Programming Basics
Gained skills:
Exploratory Data Analysis Data Preprocessing R Programming Basics
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Browse R courses and projects
Choose a career pathComprehensive programs to master a career pathway
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4 Cursos
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Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
AI-Assisted Learning
Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
Workspaces
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Learning tracks
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
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Video-based learning platforms
Codefinity
Video-based learning platforms
Video content
Downloadable materials
Esteemed certificates
Interactive learning environment
Error correction
AI assistant
Access to all content with one subscription
Career opportunitiesLearn about the most popular professions, average salaries, and companies actively seeking specialists in this field.
Data Visualization Specialist
Annual sallary
*Average in the US
$149k
$197k
$246k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Data Scientist
Annual sallary
*Average in the US
$149k
$197k
$246k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Data Analyst
Annual sallary
*Average in the US
$59k
$74k
$90k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Big Data Analyst
Annual sallary
*Average in the US
$98k
$125k
$152k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Financial Analyst
Annual sallary
*Average in the US
$86k
$115k
$144k
Min
Average
Max
Source: Glassdoor
Hiring companies
Source: Glassdoor
Data Visualization Specialist
Data Scientist
Data Analyst
Big Data Analyst
Financial Analyst
$149k
$197k
$246k
Min
Average
Max
Annual sallary
(Average in the US)
Hiring companies
*Source: Glassdoor
Chosen by students of top schools
Including 30 out of top-30 U.S. colleges
R Courses: Key Info and Questions
Introduction to R Courses
Our two part of "R Introduction" course provide a comprehensive overview of the fundamental concepts of R, starting from basic arithmetic operations - ending with data extraction.
Benefits of Our R Courses
Taking R courses at Codefinity offers you the chance to gain strong basic skills in one of the most popular programming languages for data analysis and statistical modeling. Our courses are designed to help you understand basic R concepts and prepare you for future studies or careers in data-driven fields.
Career Opportunities After Completing R Courses
After completing our R courses you would have potential to start a career in a variety of data-driven fields, including: data science, data analysis, statistical analysis, data engineering, quantitive analysis, operations analysis etc. — R Course OptionsWe are suggesting you two courses: "R Introduction: Part I" and "R Introduction: Part II", which will help you to acquire basic R progmamming knowledge.
Certificate Information
After successful completion of R course at Codefinity, you will receive a Certificate of Completion, recognized by industry leaders, which also can be appended to your professional profiles, with a main purpose of enhancing your employment opportunities.
How to Choose the Suitable R Course?
First of all - define your goals. Then - estimate your experience. After all - check the curriculum, and estimate instructor's expertise level.
Which Course is Best in the Category of R Courses?
Two courses: "R Introduction: Part I", "R Introduction: Part II" are allowing our students to master basics of R programming through well-structured curriculum and interesting representation of material. — Why Should I Consider Taking an Online R Course with Your Company?Our company suggests you: well-crafted curriculum, support from experienced instructors and hands-on assignments, ensuring that you are understanding material.
Tips for Successful R Course Completion
First of all, you should set clear goals. Then make learning new material consistent and active, and most importantly - apply your knowledge on practice.
What is the Cost of Training for R Courses?
We offer flexible pricing options. Our Pro Plan starts at $49 per month or $99 for three months, with savings on our Pro Annual Plan at $144. Our Ultimate Plan is $59 per month, $147 for three months, or $299 annually. Each plan includes access to expert-crafted content, interactive challenges, and certification.
Which R Course is Best Suited for Beginners?
For beginners the best option is two parts of introduction: "R Introduction: Part I", "R Introduction: Part II", which will be useful for acquiring basic skills of R programming.
What Are the Key Skills Required to Excel in R Programming?
To Excel in R Programming you need understanding of statistical concepts and methods plus foundation at programming.
What Are the Career Opportunities in R Programming?
With knowledge of R you can start a career as either Data Scientist, Data Analyst, Statistical Analyst, Data Engineer or Quantitive Analyst.
How Does R Programming Impact the Industry ?
R helps in making data-driven decisions by providing tools for detailed data analysis, visualization and statistical modeling.
Comparisons with Related or Similar Courses in the R Programming Field
Comparing our two courses with, for example, "Introduction to R" from DataCamp we should notice, that our course provides users with a material in a way it easier to understand.
What Our Users Say
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100+ Top-Rated coursesCompletion certificatesAI-Assistant in all courses20+ hands-on Real-world projectsPersonalized study tracksUnlimited workspacesTop courses in the R category
1. | R Introduction: Part I |  2 hours |  26 chapters |
2. | R Introduction: Part II | 2 hours | 18 chapters |
1. R Introduction: Part I
Hours
Chapters2. R Introduction: Part II
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