R for Data Scientists and Data Analysts

🔵Extend content depth and duration: Current competitors offer more comprehensive 12-hour plus courses with more interactive and coding exercises, covering relational and logical operators, loops, function building, statistical tasks, and data visualization in detail.

🔵Update installation and environment setup guidance: Include full cross-platform instructions for both Windows and Mac users, plus coverage of current R and RStudio versions (latest as of mid-2025 is R 4.3.3).

🔵Incorporate newer packages and workflows: Ensure teaching of the latest tidyverse tools and R data science ecosystem changes since the original 2022 content.

🔵More beginner-friendly pacing and modular structure: Consider splitting topic delivery into smaller modules or segments and optional supplementary content for novices to avoid feeling rushed.

🔵Add Q&A support and future course update info to build learner engagement and confidence.