R (RStudio) Course

In this course,

We will 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. Say goodbye to software anxiety and start your journey towards expertise today.


Price:

You can enroll in the live sessions for as low as PKR 9999.


Course Duration:

This course will consist of 5 sessions, and will end in 2.5 weeks.


Learning Objectives:

The learning objectives for the five sessions of the R (RStudio) course are listed below:

Session 1: Introduction to R

  • Installing R and RStudio
  • Basic R Syntax and Commands
  • Data Structures in R: Vectors, Matrices, Data Frames

Session 2: Data Cleaning in R

  • Importing and Exporting Data
  • Data Cleaning and Preparation
  • Using dplyr for Data Manipulation
  • Handling Missing Data
  • Data Transformation

Session 3: Data Visualization in R

  • Basic Plots: Histograms, Scatter Plots, Box Plots
  • Advanced Visualization with ggplot2
  • Customizing Plots
  • Creating Interactive Visualizations

Session 4: Statistical Analysis in R

  • Descriptive Statistics
  • T-tests, ANOVA
  • Correlation and Regression Analysis
  • Hypothesis Testing

Session 5: Regression Analysis in R

  • Logistic Regression
  • Linear Regression
  • Time-Series Analysis (Hazard Ratio)
  • Kaplan Meier Curve
  • Bonus Session: Introduction to Machine Learning

Click here to see the dates for next live session:

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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.

What will students learn in this course?

  • Coding has always been fun, its just not taught well anywhere.
  • Have no one told you that you can learn R without much hassle?
  • You will be able to do your research analysis independently.
  • Doctors and medical students are the ideal audience for this course—trust me, I’ll keep it engaging!

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.


Click here to see the dates for next live session:

Enroll Now