PBC-RD · Professional
R for Data Science — Professional
The language of statistics, biostatistics, public health, and serious econometrics. Opens doors in research, NGOs, and academia.
Duration
60h self-paced
Exam
65 Qs · 130min
Pass mark
75%
What you'll learn
While Python has overtaken R for general data work, R remains dominant in statistics, biostatistics, public health, social sciences, and serious econometrics. Nigerian universities, research institutions, NGOs (especially health and public policy), and statistical agencies still rely on R. This professional certification proves you can do real statistical work. Covers R fundamentals, tidyverse mastery (dplyr, tidyr, readr, purrr), ggplot2 (publication-quality charts), statistical analysis (t-tests, ANOVA, chi-square), linear and logistic regression, time-series with forecast package, survival analysis, multilevel/mixed-effects models, reproducible research with R Markdown and Quarto, Shiny for interactive dashboards, data.table for large datasets, database connections (DBI, dbplyr), and spatial analysis with sf. Peer-reviewed capstone: a reproducible research project on a real Nigerian dataset (health, demographic, economic).
Course modules
- 01~450min
R foundations for data science — base R, tidyverse, and the modern R workflow
R is the statistician's language and a powerhouse for data science. This module covers R fundamentals tuned for data work: language essentials, the base-R-vs-tidyverse split, RStudio / Posit, packages, and the modern R workflow.
- 02~450min
Data manipulation with dplyr — filter, mutate, summarise, group_by, joins
dplyr is the workhorse of tidyverse data manipulation. This module covers the core verbs (select, filter, mutate, arrange, summarise, group_by) and the join operations that combine data frames.
- 03~450min
tidyr and data cleaning — pivots, missing values, strings, dates
Real data is messy. tidyr reshapes it; stringr cleans strings; lubridate handles dates; the tidy data principle structures it for analysis. This module covers the cleaning workflow that prepares messy data for analysis.
- 04~450min
Visualization with ggplot2 — the grammar of graphics
ggplot2 is widely considered the best-in-class visualization library. Built on the grammar of graphics, it composes plots from layered components. This module covers ggplot fundamentals, common plot types, themes, and faceting.
- 05~450min
Statistical analysis in R — descriptive, inferential, hypothesis testing
R was designed for statistics. This module covers descriptive statistics, hypothesis tests, ANOVA, correlations — the inferential toolkit you'll use for any research project.
- 06~450min
Linear and generalised linear models — regression, logistic, mixed models
Regression is the foundation of statistical modeling. This module covers linear regression, generalised linear models (logistic, Poisson), mixed-effects models, and model diagnostics — the toolkit for academic and applied research.
- 07~450min
Predictive modeling with tidymodels — machine learning in R
Tidymodels is the modern R framework for machine learning — consistent, tidy, well-designed. This module covers the tidymodels workflow: split, recipe, model, tune, evaluate.
- 08~450min
Reproducible research and reporting — Quarto, Shiny, R Markdown, packages
R's killer feature for academia: reproducible reports. This module covers Quarto (the modern R Markdown), Shiny dashboards, R Markdown, package development, and the academic / research workflow.
What you walk away with
Not just a certificate. A career-grade credential built to open doors.
A credential employers verify in one click
Unique cert ID, QR code, and tamper-evident signature. No more wondering if your certificate is taken seriously.
A portfolio piece, not just a paper
Your capstone project lives on your public PBV portfolio. Recruiters click and see actual work — that beats a cert badge every time.
Lifetime access, no expiry
Once you earn it, it's yours. No renewals, no subscriptions, no surprises.
A profile that stands out
Verified PBV credentials show up on your PBridge freelancer profile, putting you ahead of unverified candidates in client searches.
Why PBC works
- ✓USD pricing, transparent and global. Pay in USD, accepted globally.
- ✓Built for the global context. Case studies and capstone briefs use real-world business scenarios.
- ✓Reviewed capstone project. A human reviews your final project.
- ✓Verifiable digital certificate. QR code and cryptographic hash for one-scan verification.
- ✓PBridge job board access. Featured in front of employers hiring on PBridge.
R for Data Science certification FAQs
How much does the R for Data Science certification cost?+
The PBridge Certified R for Data Science certification costs $149 for the exam-only path and $249 for the full path which includes the capstone project review. Both prices are in US Dollars. Payment via secure international checkout (Visa, Mastercard, Amex).
Is the PBridge Certified R for Data Science certification recognized internationally?+
Yes. PBridge Certified certifications are issued with verifiable digital credentials including a unique cert ID, QR code, and hash signature. Hiring managers anywhere in the world can verify any cert at https://www.pbridgeco.com/verify/{cert-id}.
How long does it take to complete the R for Data Science certification?+
The R for Data Science certification takes approximately 60 hours of self-paced study. The exam itself is 130 minutes with 65 questions. Most candidates complete the full path including the capstone project in 4-8 weeks studying part-time alongside work.
What makes PBridge Certified the right fit for learners and employers globally?+
PBridge Certified is built for the global market — USD pricing, capstone scenarios drawn from real-world business cases, international hiring manager recognition, and direct integration with the PBridge job board so certified holders get featured in front of employers actively hiring.
Can I get a job after the R for Data Science certification?+
PBridge Certified cert holders get priority access to the PBridge job board where global and remote employers post r for data science roles. Pair the certification with the capstone project as a portfolio piece — most certified holders see callbacks within 30 days.