Learn R (RStudio) for your Research

Course Introduction: 

Step into the world of R, a versatile and powerful tool for statistical computing and data visualization. This course guides you through the basics of R, from data manipulation to creating stunning graphs and running advanced analyses. No prior coding experience? No problem! We’ll help you harness R to tackle real-world data challenges effortlessly.

What You'll Learn:

1. Session 1: Introduction to R

   • Installing R and RStudio

   • Basic R Syntax and Commands

   • Data Structures in R: Vectors, Matrices, Data Frames
     

2. Session 2: Data Cleaning in R

   • Importing and Exporting Data

   • Data Cleaning and Preparation

   • Using dplyr for Data Manipulation

   • Handling Missing Data

   • Data Transformation
     

3. Session 3: Data Visualization in R

   • Basic Plots: Histograms, Scatter Plots, Box Plots

   • Advanced Visualization with ggplot2

   • Customizing Plots

   • Creating Interactive Visualizations
     

4. Session 4: Statistical Analysis in R

   • Descriptive Statistics

   • T-tests, ANOVA

   • Correlation and Regression Analysis

   • Hypothesis Testing

5. Session 5: Regression Analysis in R

   • Logistic Regression

   • Linear Regression

   • Time-Series Analysis (Hazard Ratio)

   • Kaplan Meier Curve
     

Why Take This Course?

• Learn R programming from scratch with step-by-step guidance.

• Build practical skills in data wrangling, visualization, and analysis.

• Prepare for careers in research, data science, and analytics.

• Work on real-world datasets to gain hands-on experience.

Who This Course Is For:

• Students and professionals interested in learning R for data analysis.

• Beginners curious about programming and its applications in research.

• Researchers looking to analyze data and publish findings effectively.

• Anyone aiming to develop data-driven decision-making skills.

Outcome:

By the end of this course, you'll master R for analyzing, visualizing, and interpreting data, making you a valuable asset in any research or professional environment.