Master R Programming for Data Analysis
Learn R from scratch for statistical analysis and data visualization — tidyverse workflows, ggplot2 charts and reproducible reports used widely in research, healthcare and finance.
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Program Overview
R Programming for Data Analysis is a beginner-level live online course running 7 weeks (48 hrs), priced at $650 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.
Learn R from scratch for statistical analysis and data visualization — tidyverse workflows, ggplot2 charts and reproducible reports used widely in research, healthcare and finance. What you will build: a data-cleaning pipeline, a ggplot2 visual report and a regression analysis. Tools and technologies: R, RStudio, tidyverse, dplyr, ggplot2, R Markdown, Shiny (intro). Format: 48 hours of live, instructor-led online training over about 7 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Data Analyst, Biostatistics Associate, Research Analyst, Junior Data Scientist. Resume review and interview guidance are available to all learners.
Course Highlights
- 48 hours of live instructor-led training
- Hands-on labs and guided mini projects
- Tools: R, RStudio, tidyverse
- Certificate of completion
- Career guidance for US & Canada job market
- Recorded sessions and mentor support
Minimum Requirements
- No prior experience required
- Laptop or desktop with stable internet
Who is this for ?
- Researchers and analysts needing statistics tools
- Graduates entering healthcare or finance analytics
- Excel users moving to code-based analysis
Curriculum
Course Curriculum
5 modules · 19 topics0 hours total
- 1RStudio
- 2vectors and data frames
- 3functions
- 4packages
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the R Programming for Data Analysis program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.
- Verifiable ID: Unique credential link for LinkedIn.
- Skill Validation: Proof of hands-on project completion.
- Corporate Branding: CO-branded with your company logo.
Student Reviews
Why learn this online
AI and data science are among the fastest-growing, highest-value skill sets in the technology market. Learning them online, through live instructor-led sessions and hands-on projects, lets you build practical experience with Python, statistics, and machine learning while keeping your current job. Because the field rewards demonstrated ability over credentials, a strong project portfolio built during the course is what employers actually respond to.
Who this is for
- ✓Analytical professionals who enjoy math and code
- ✓Analysts wanting to move into modeling and AI
- ✓Career switchers targeting high-ceiling data roles
Career outcomes
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data Analyst (advanced)
Frequently asked questions
How much does the R Programming for Data Analysis course cost?
The R Programming for Data Analysis course costs $650 (USD) for 7 Weeks (48 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.
What projects will I build in R Programming for Data Analysis?
You will build a data-cleaning pipeline, a ggplot2 visual report and a regression analysis.
Which tools and technologies does R Programming for Data Analysis cover?
R Programming for Data Analysis covers R, RStudio, tidyverse, dplyr, ggplot2, R Markdown, Shiny (intro).
Is the R Programming for Data Analysis course online or in person?
The R Programming for Data Analysis program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.
How long is the R Programming for Data Analysis course?
The R Programming for Data Analysis program runs for 7 Weeks (48 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the R Programming for Data Analysis course — is it suitable for beginners?
The R Programming for Data Analysis program is pitched at a beginner level. It is designed to be accessible to newcomers, starting from fundamentals.
Do I get a certificate after completing R Programming for Data Analysis?
Yes — you receive a verifiable certificate of completion for the R Programming for Data Analysis program, which you can share with employers and add to your LinkedIn profile.
Does the R Programming for Data Analysis course include placement or career support?
Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.
Do I need any prior experience to join R Programming for Data Analysis?
Recommended prerequisites: No prior experience required; Laptop or desktop with stable internet.
Do I need a math background for AI and data science?
Comfort with basic math helps, but the fundamentals — statistics and the math behind common models — are taught as part of a structured program. What matters most is consistent practice and building real projects.
Is Python required for AI and data science?
Yes, Python is the core language of the field. A good course starts from Python fundamentals and builds up to data libraries and machine learning, so you can start even if you are new to coding.
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