Data Science with R Corporate Training
Learn to do data science with R end to end with Data Science with R, in live guided labs led by practitioners.
Edstellar, a corporate training company, delivers corporate training that helps your team learn do data science with R end to end. Employees develop tidyverse, statistics, and modeling skills through guided labs led by practitioners. Each session is tuned to your stack, tools, and workflows.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a R-capable team
EDSTELLAR DATA SCIENCE CAPABILITY MODEL
Assess R skills
Skill checks map your team's Data Science with R baseline and gaps.
Set shared standards
One shared playbook for Data Science with R workflows, reviews, and quality bars.
Practice in guided labs
Labs cover wrangling, statistics, and modeling.
Measure the lift
Lab checkpoints benchmark each employee's Data Science with R capability.
Scale across teams
One consistent standard rolls out across projects, sites, and teams.
Need more than one program?Get a group quote
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Program Overview: What is Data Science with R?
Data Science with R is a 19-hour program for analysts, researchers, and quants working in R. Across 5 modules it covers R programming, tidyverse, statistics, machine learning, and Shiny. It suits teams standardizing on R for analytics and research.
Training is hands-on: every concept is taught through guided labs: participants wrangle with the tidyverse, run statistical tests, build ML models, analyze time series, and ship Shiny dashboards. Labs use real datasets, with instructor review at every stage.
Teams struggle with R growing pains: shallow skills, irreproducible analysis, and static reporting. This program builds real R depth: fluent programming, solid statistics, and interactive delivery. Your team gains analytics that hold up.
A 5-hour capstone closes the program, where participants frame a problem and deliver a complete, reproducible R project.
What's Included in this Workshop for Your Enterprise Teams
- 1
Tailored curriculum
Modules tuned to your tools and workflows
- 2
Instructor-led sessions
Live guidance from data scientists
- 3
Guided labs
Labs on realistic tasks
- 4
Skills assessments
Checkpoints track progress module by module
- 5
Post-training support
Workbooks, recordings, and follow-up guidance
- Hybrid, Live virtual, Onsite delivery options
- Flexible scheduling across your time zones
- Dedicated training coordinator for your cohort
- Digital workbooks and session recordings
- Customized modules for your Data Science with R stack
- Post-training support and resources
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Data Science with R Course Topics and Program Outline
A 19-hour, 5-module Data Science with R curriculum: foundations first, then labs, then a capstone that proves the skill on the job.
Built by Edstellar with data scientists who deliver analytics with R
Built by data scientists who deliver analytics with R, shaped around your stack and use cases.
Skill checks map your team's Data Science with R baseline so the program targets real gaps.
Instructor-led concepts build Data Science with R foundations your team can explain and use.
Labs across 2 hands-on modules build Data Science with R muscle with instructor coaching.
A 5-hour capstone applies Data Science with R end to end with instructor review.
A 19-hour path from Data Science with R foundations to a reviewed capstone, tuned to your stack.
Delivered as
Sessions run hybrid | live virtual | onsite; scheduling flexes across your time zones and team calendars.
Wrangle data with the tidyverse.
learna)R syntax and data structures
b)Tidyverse essentials
c)Data import and cleaning
d)R Markdown workflows
Run statistical analysis in R.
learna)Descriptive statistics
b)Probability distributions
c)Hypothesis testing
d)Regression analysis
Build and evaluate ML models in R.
practicea)Classification with caret
b)Clustering techniques
c)Model evaluation
d)Feature engineering
Build a Shiny dashboard on real data.
practicea)Time series analysis
b)Text mining basics
c)Shiny dashboards
d)Reproducible research
Deliver a complete R analytics project.
applya)Problem framing
b)End-to-end analysis
c)Visualization storytelling
d)Reproducible delivery
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
By the end of this Data Science with R program, your team will be able to do data science with R end to end.
R programming
Program fluently in R.
Tidyverse
Wrangle data with the tidyverse.
Statistics in R
Run statistical analysis in R.
ML in R
Build ML models with caret.
Time series
Analyze time series data.
Shiny dashboards
Build interactive Shiny dashboards.
R projects
Deliver complete R projects.
Teams that Benefit from this Data Science with R Group Training
Data analysts, researchers, biostatisticians, and finance analysts working in R learn together. Content adapts to role and experience, so each cohort practices the analytics workflows it owns.
Master R
Analysts in R-heavy domains need depth. This program builds the R and statistics skill their work demands.
Workflow friction
- Shallow R skills
- Weak statistics
- Static reporting
How the program helps
- Program fluently in R
- Apply statistics correctly
- Build interactive outputs
Practice use cases
- R fluency
- Statistics
- Interactivity
Analyze rigorously
Academic and applied researchers live in R. The program builds reproducible, publication-quality analysis.
Workflow friction
- Irreproducible analysis
- Weak methods
- Manual workflows
How the program helps
- Analyze reproducibly
- Apply methods correctly
- Automate workflows
Practice use cases
- Reproducibility
- Methods
- Automation
Domain depth
Life-science analysts need R statistics depth. This training covers the methods their domain demands.
Workflow friction
- Method gaps
- Regulatory scrutiny
- Complex data
How the program helps
- Apply correct methods
- Withstand scrutiny
- Handle complex data
Practice use cases
- Correct methods
- Scrutiny readiness
- Complex data
Quantify in R
Finance quants use R for analysis. The program adds modeling and time series depth.
Workflow friction
- Excel limits
- No time series skill
- Weak modeling
How the program helps
- Move beyond Excel
- Model time series
- Build better models
Practice use cases
- Beyond Excel
- Time series
- Modeling
Cohorts are grouped by role and experience so every session targets the workflows your people own.
Prerequisites: This program suits professionals with basic programming or statistics familiarity; R exposure helps. No advanced background is needed. Content adapts to each cohort's domain.
R users to R practitioners
Cohorts start with R and statistics foundations, build ML practice, and finish with advanced techniques and project delivery.
One program grows with analytics careers, from R basics to advanced delivery.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose how your team learns Data Science with R: every mode keeps the same curriculum, labs, and instructor coaching.
Hybrid Training
Instructor-led Data Science with R training delivered hybrid, onsite, or live virtual. Every session blends concise instruction with guided labs on your stack.
- Live instruction across onsite and virtual Data Science with R sessions
- Guided labs with instructor coaching throughout
- Real Data Science with R workflows, not slideware
- Flexible scheduling without losing live interaction
Onsite Training
Instructor-led Data Science with R training at your offices, with labs set up on your tools. The instructor pairs with the team in person and tunes exercises to your workflows.
- Instructor-led Data Science with R training at your offices
- Labs set up on your tools and workflows
- In-person coaching and reviews
- Exercises tuned to your stack
Live Virtual Training
Live virtual Data Science with R sessions on Zoom or Teams with the same labs, breakout practice, and instructor coaching as onsite delivery.
- Live virtual Data Science with R sessions on Zoom or Teams
- Same guided labs as onsite delivery
- Breakout practice with instructor coaching
- Session recordings for later review
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, Data Science with R stack, and timelines; we respond with a tailored proposal and per-batch pricing.
Yes. A short discovery call maps your goals, current Data Science with R maturity, and the right module mix before you commit.
Yes. Live virtual sessions run on Zoom or Teams with the same guided labs, breakout practice, and instructor coaching.
Yes. Onsite delivery works well for Data Science with R; the instructor tunes labs to your network, tools, and workflows.
The program runs 19 hours across 5 modules, scheduled flexibly: consecutive days, split weeks, or a custom cadence.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Data science with R comes third, after business statistics and statistical analysis in R. Your team builds statistical understanding and R skills first. The final step turns models built in R into forecasts and predictions the business can plan with.
Why Choose Edstellar as Your Data Science with R Corporate Training Provider
Edstellar delivers Data Science with R corporate training for global enterprises: tailored curriculum, expert trainers, labs-based learning, and measurable outcomes your L&D team can report.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
We tailor labs, examples, and pacing to your team's Data Science with R maturity and goals.
Proven Methodology
A field-tested rhythm of instruction, labs, and feedback proven across global Data Science with R cohorts.
Practice-Based Learning
Your team learns Data Science with R by doing: labs in every module plus a capstone that proves the skill.
Expert Trainers
Seasoned data scientists lead every session and coach your team through each guided lab.
Global Scale
From pilot cohort to global rollout, one Data Science with R standard scales with your organization.
Measurable Outcomes
Checkout reviews and capstone results give L&D clear evidence of Data Science with R capability gained.
Connect R Analysis With Statistical Evidence and Interactive Data Communication
Edstellar develops R capability through tidyverse preparation, statistical analysis, machine learning, and Shiny delivery. Participants build an analytical workflow and examine its outputs before presenting a complete project. Instructor review focuses on reproducible processing, method selection, evaluation evidence, and an interactive presentation that makes the findings understandable.
- Step 01
Consult
We review programming and statistics familiarity to identify gaps in R data manipulation, analytical method selection, model evaluation, and interactive reporting.
- Step 02
Plan
We establish R and tidyverse foundations before statistical analysis and machine learning, then Shiny development within the integrated analytics project.
- Step 03
Align
We align R instruction with analyst and research responsibilities, supporting different programming backgrounds and matching datasets and statistical examples to the cohort's domain.
- Step 04
Customize
We tailor sample tables, analysis questions, and dashboard interactions to relevant research or business problems while keeping method assumptions and evaluation boundaries explicit.
- Step 05
Execute
Participants wrangle data, evaluate models, and build Shiny views, receiving feedback on reproducibility, statistical reasoning, model evidence, and the usability of interactive outputs.
- Step 06
Evaluate
We assess the R project for a coherent analytical workflow, justified methods, documented evaluation, and clear presentation of findings and limitations through the dashboard.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Data Science with R Training Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Data Science with R Training for Your Team
Share your team size, Data Science with R goals, and timelines to receive a tailored training plan and quote. Book a discovery call to discuss your needs; we confirm availability and respond with a proposal.