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R Courses Online with Certificate

R Courses

Choose a course that suits your goals - from the basics to advanced skills in R programming.
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Gained skills:
Data PreprocessingExploratory Data AnalysisR Programming Basics
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Browse R courses and projects
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Codefinity advantages
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.

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Real-world projects

Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers

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Access to all content with one subscription
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Career opportunitiesLearn about the most popular professions, average salaries, and companies actively seeking specialists in this field.
Data Scientist
Financial Analyst
Big Data Analyst
Business Intelligence Analyst
Data Analyst
$149k
$197k
$246k
Min
Average
Max
Annual salary
(Average in the US)
Epic!
Roku
Meta
Airbnb
Dropbox
X
Hiring companies
*Source: Glassdoor
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R Courses: Key Info and Questions

Introduction to R Courses
Our two-part "R Introduction" course provides a comprehensive overview of the fundamental concepts of R, starting with basic arithmetic operations and 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.
What Are the Career Opportunities in R Programming?
With knowledge of R, you can start a career as either a Data Scientist, Data Analyst, Statistical Analyst, Data Engineer, or Quantitative Analyst.
R Course Options
We are suggesting two courses: "R Introduction: Part I" and "R Introduction: Part II", which will help you acquire basic R programming knowledge.
Certificate Information
After successful completion of an R course at Codefinity, you will receive a Certificate of Completion, recognized by industry leaders, which can also be appended to your professional profiles, with the main purpose of enhancing your employment opportunities.
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 in 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" and "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 an understanding of statistical concepts and methods, plus a foundation in programming.
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.
What Our Users Say
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ProBest intro offer$12 /monthBilled annually

benefit100+ Top-Rated courses
benefitCompletion certificates
benefitAI-Assistant in all courses
benefit20+ hands-on Real-world projects
benefitPersonalized study tracks
benefitUnlimited workspaces
UltimateAll you need to boost your career$25 /monthBilled annually

benefit100+ Top-Rated courses
benefitCompletion certificates
benefitAI-Assistant in all courses
benefit20+ hands-on Real-world projects
benefitPersonalized study tracks
benefitUnlimited workspaces
Top courses in the R category
1.
R Introduction: Part I
time2 hours
chapters26 chapters
2.
R Introduction: Part II
time2 hours
chapters18 chapters
1. R Introduction: Part I
timeHours
2
chaptersChapters
26
2. R Introduction: Part II
timeHours
2
chaptersChapters
18

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