Name: Hands-On R Programming: Build Real World Data Projects
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Course Title: Hands-On R Programming: Build Real World Data Projects
Instructor: Brighter Futures Hub (Udemy Instructor)
Target Audience:
- Beginners with no prior R programming experience
- Data science enthusiasts, statistics students, and professionals in business analytics, healthcare, or finance
- Learners seeking practical, project-based training in R programming
Prerequisites: None

Key Topics Covered:
- Introduction to R: History, applications, and installation (R + RStudio)
- R Syntax & Data Structures:
  - Data types, vectors, matrices, arrays, data frames, and lists
- Control Flow & Functions:
  - Conditional statements (if-else), loops (for, while), and user-defined functions
- Data Manipulation:
  - dplyr (filter, select, mutate, arrange)
  - tidyr (pivot_longer, pivot_wider)
  - Joining/merging datasets
- Data Visualization:
  - Static plots (scatter, bar, line, histograms) with custom aesthetics
  - Interactive plots
- Statistics & Analysis:
  - Descriptive statistics (mean, median, standard deviation)
  - Hypothesis testing (t-tests, chi-squared tests)
  - Regression analysis (linear, multiple regression)
- Real-World Projects:
  - Data cleaning, exploratory data analysis (EDA), and automated reporting
  - Machine learning basics (using caret and randomForest)
Key Skills Learned:
- R programming from scratch with best practices
- Data wrangling and transformation for real-world datasets
- Statistical analysis and hypothesis testing
- Data visualization for business, healthcare, and finance applications
- Project structuring, documentation, and presentation

Duration: 2.5 hours on-demand video
Format: Self-paced online course (lifetime access)
Resources:
- Mobile and TV access
- Certificate of completion
- No downloadable materials or quizzes (beyond video lectures)