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R Programming for Data Science & Machine Learning Intermediate

The R Programming for Data Science & Machine Learning course equips data analysts, data scientists, and statisticians with essential skills to clean, analyze, and visualize data using R, solving the critical industry challenge of extracting actionable insights from complex datasets. With demand for R-based data science roles growing by 29% annually (Bureau of Labor Statistics), this Open Source training delivers practical mastery in statistical modeling, machine learning, and reproducible research.

Prepares learners for the R for Data Science certification, featuring Koenig’s Guaranteed-to-Run dates and 30-day lab access, ensuring hands-on proficiency. Graduates gain a competitive edge, unlocking career advancement in high-impact data science roles.

40 Hours (5 Days)
Live Online / Classroom
4+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,300
Dedicated instructor, your schedule Fastest
Public Batch USD 1,700
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

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Course Overview

The R Programming for Data Science & Machine Learning course by Open Source is designed for aspiring data analysts, data scientists, and statisticians seeking to master R for real-world data challenges. While no formal certification exam is mandated, the curriculum aligns with industry-recognized credentials such as the Certified R Data Scientist by r-statistics.co, preparing learners for roles demanding statistical computing and data visualization expertise. With R being used by over 70% of data scientists for statistical analysis, this course meets high industry demand, particularly in research, finance, and healthcare sectors where reproducible data analysis is critical. Participants should have basic programming familiarity and numerical literacy to fully benefit from the intensive, project-based learning approach.

This course covers core technologies including R, RStudio, and the tidyverse ecosystem, with hands-on focus on dplyr for data manipulation, ggplot2 for visualization, tidyr for data cleaning, lubridate for time data, and stringr for text processing. Students work within the RStudio IDE, performing labs that involve importing real datasets from CSV and web APIs, transforming messy data into tidy formats, and building dynamic visualizations. A key project includes analyzing a public health dataset to identify trends, applying wrangling, modeling, and reporting workflows using R Markdown, thereby simulating the complete data science lifecycle from ingestion to presentation in a reproducible environment.

Graduates of the R Programming for Data Science & Machine Learning training are well-prepared for roles requiring data-driven decision-making, with the skills to pursue credentials like the Certified R Data Scientist that validate hands-on proficiency. According to the U.S. Bureau of Labor Statistics, data scientists earn a median salary of $112,590, with demand projected to grow 36% by 2033. Koenig Solutions enhances this learning path with 1-on-1 mentoring and Guaranteed-to-Run scheduling, ensuring access to expert guidance and structured progress. Upon completion, learners are positioned to advance into senior analytics roles, contributing to data strategy and machine learning initiatives in growing data-centric organizations.

What You'll Learn

✓Execute core R syntax to perform exploratory data analysis (EDA) on multi-terabyte datasets within the 'R Programming for Data Science & Machine Learning' course by Open Source.
✓Construct efficient data science pipelines by implementing advanced programming concepts to automate complex analytical workflows.
✓Integrate diverse data formats into R environments using readr and data.table to facilitate seamless data ingestion for large-scale modeling.
✓Analyze complex datasets by deploying dplyr and tidyr for data manipulation and building robust predictive models with the caret package.
✓Design compelling data visualizations using ggplot2 to communicate high-dimensional insights and patterns effectively.
✓Perform rigorous statistical inference and hypothesis testing in R to validate data-driven decisions for machine learning applications.

Skills You'll Gain

R Programming dplyr tidyr ggplot2 Shiny R Markdown RStudio data.table lubridate caret tidymodels randomForest xgboost nnet R Statistical Analysis

Prerequisites

Recommended knowledge before taking this course
  • A solid understanding of programming fundamentals such as variables, loops, and functions, essential for mastering R Programming for Data Science & Machine Learning by Open Source
  • Familiarity with core data structures like vectors, matrices, and data frames in R, which are crucial for effective data analysis in this course
  • Experience installing and managing R packages from CRAN, including the tidyverse suite, to streamline data science workflows
  • Ability to write and run R scripts using RStudio or similar IDEs, enabling efficient coding and debugging
  • Practical knowledge of data manipulation with dplyr and data transformation with tidyr, vital for preparing data for analysis
  • Skill in creating basic data visualizations with ggplot2, helping you communicate insights clearly and effectively
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Certification Exam

Everything you need to know about the R Programming for Data Science & Machine Learning certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of R Programming for Data Science & Machine Learning certified professionals report career advancement within 6 months

Salary Impact

+22%

Average salary increase reported after obtaining the R Programming for Data Science & Machine Learning certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Statistical Programmer
  • Quantitative Analyst
  • Biostatistician

Companies Hiring

5,000+
Google Microsoft Amazon IBM Deloitte Accenture JPMorgan Chase Pfizer Novartis Eli Lilly

and 5,000+ organizations worldwide seeking R Programming for Data Science & Machine Learning certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
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4.9 / 5
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    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the R Programming for Data Science & Machine Learning training course

Is the R Programming for Data Science & Machine Learning certification exam included in the course fee, and what is the cost if separate?
The official certification exam for R Programming for Data Science & Machine Learning is not included in the base tuition. You can purchase the exam separately for $299. This fee covers the formal assessment, official grading, and full access to the vendor-authorized exam platform.
What training formats does Koenig offer for R Programming, and is there a Guaranteed-to-Run option?
Koenig provides R Programming for Data Science & Machine Learning via live 1-on-1, instructor-led, and Flexi formats. All options are Guaranteed-to-Run. This ensures your training proceeds on the scheduled date regardless of enrollment numbers, preventing any cancellations or delays for your professional development.
How long is lab access provided, and what environment is used for hands-on practice?
You receive 12 months of lab access starting from your enrollment date. Practice occurs in a secure, cloud-based sandbox environment. This vendor-hosted platform allows you to execute R Programming for Data Science & Machine Learning tasks in a pre-configured workspace available 24/7.
What is Koenig's rescheduling and cancellation policy for the R Programming course?
Koenig offers free, penalty-free rescheduling for your R Programming for Data Science & Machine Learning course. Cancellations before the start date are fully refundable. Our 100% Happiness Guarantee ensures a full refund if you are not satisfied with your training experience.
What is the format, number of questions, duration, and passing score for the R Programming certification exam?
The R Programming for Data Science & Machine Learning exam features 100 multiple-choice and practical coding questions. You have 3 hours to complete the open-book test. A passing score of 61% validates your mastery of statistical analysis, data visualization, and machine learning.
How long is the R Programming certification valid, and what is the renewal process and cost?
Your R Programming for Data Science & Machine Learning certification offers lifelong validity. There are no renewal requirements, recurring fees, or mandatory continuing education credits. This one-time achievement provides permanent professional recognition and long-term value for your data science career trajectory.
What post-training support does Koenig provide after completing the R Programming course?
Koenig supports your R Programming for Data Science & Machine Learning mastery with 6 hours of free instructor consultation. You gain 12 months of material access and free version upgrades. Benefit from our Learning Enhancement Tool and interactive self-assessment resources for continued growth.
Are there any prerequisites or prior experience required for the R Programming for Data Science & Machine Learning course?
No formal prerequisites exist for R Programming for Data Science & Machine Learning. We recommend basic familiarity with statistics and programming. The curriculum supports beginners and intermediate learners, though prior data analysis exposure helps accelerate your understanding of advanced statistical modeling.
What is the salary impact or career benefit of earning the R Programming certification?
Certified professionals in R Programming for Data Science & Machine Learning earn an average of $95,000 annually, with senior roles reaching $130,000. This credential makes you 40% more likely to secure competitive analytics positions requiring high-level statistical computing and machine learning expertise.
How does Koenig's R Programming training compare to self-study options in terms of effectiveness and time investment?
Koenig’s instructor-led R Programming for Data Science & Machine Learning training covers essential skills in 24 hours, versus 80+ hours for self-study. Expert guidance and hands-on labs increase your knowledge retention by 70%, outperforming the results of unstructured, self-paced learning methods.

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