R Programming Courses and Certifications

Advanced Data Applications and Integration

1 review

Master advanced R programming through web data collection, interactive visualizations, large dataset handling, and cloud service integration with practical, step-by-step guidance.

• Coursera
• 19 hours 16 minutes
• On-Demand
• Paid Course

XGBoost & Random Forest: Decision Trees + Boosting in R

53 ratings at Udemy

XGBoost, Random Forest, Decision Trees, Gradient Boosting, ROC Curve/AUC, Machine Learning in R (RStudio), rpart, party

• Udemy
• 5 hours 58 minutes
• On-Demand
• Paid Course

Coursera

Calculating Descriptive Statistics in R

52 ratings at Coursera

Learn to perform descriptive statistics on quantitative and qualitative variables in R, including frequency calculations, distribution analysis, and univariate/bivariate statistics.

• Coursera
• 2 hours 30 minutes
• On-Demand
• Paid Course

Coursera

Introduction to R: Basic R syntax

50 ratings at Coursera

Learn fundamental R programming concepts, including RStudio environment, basic syntax, objects, vectors, operators, and functions. Gain hands-on experience through practical exercises.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

การเขียนโปรแกรม R สำหรับวิทยาการข้อมูล | R Programming for Data Science

เรียนรู้การใช้ R เพื่อวิเคราะห์ข้อมูล ตั้งแต่พื้นฐานจนถึงการจัดการข้อมูลขนาดใหญ่ การจำแนกกลุ่ม และการพยากรณ์ เหมาะสำหรับผู้เริ่มต้นและผู้สนใจด้านวิทยาการข้อมูล

• ThaiMOOC
• On-Demand
• Free Online Course

Coursera

Using probability distributions for real world problems in R

37 ratings at Coursera

Learn to apply probability distributions to real-world problems using R. Gain practical skills in using Binomial, Poisson, Normal, Exponential, and Chi-square distributions, with visualization techniques for data analysis.

• Coursera
• 1 hour 45 minutes
• On-Demand
• Paid Course

Statistics and R

20 reviews

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

• edX
• 4 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

RShiny for Everyone

Use R’s Shiny package to create data-driven, interactive web applications.

• edX
• 4 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Web App Development for Data Scientists

Unlock R's potential for data analysis and web app development. Learn data literacy essentials, then create interactive Shiny applications to visualize and share your insights effectively.

• edX
• 8 weeks, 4-7 hours a week
• On-Demand
• $498.00

Coursera

Build and deploy a stroke prediction model using R

28 ratings at Coursera

Develop a stroke prediction model using R, from data cleaning to model deployment. Learn feature engineering, handling missing data, and selecting the best classification model for accurate predictions.

• Coursera
• 2 hours 22 minutes
• On-Demand
• Paid Course

Coursera

Transforming Data in R

25 ratings at Coursera

Learn essential data manipulation techniques in R: pivoting, splitting, combining, handling missing values, selecting observations, and joining tables.

• Coursera
• 2 hours 2 minutes
• On-Demand
• Paid Course

Coursera

Data Visualization using dplyr and ggplot2 in R

20 ratings at Coursera

Learn to manipulate data with dplyr and create stunning visualizations using ggplot2 in R. Master key dplyr verbs and ggplot2 techniques to transform and visualize the gapminder dataset effectively.

• Coursera
• 2 hours
• On-Demand
• Paid Course

Coursera

Data Manipulation with dplyr in R

22 ratings at Coursera

Learn to manipulate data efficiently using dplyr in R. Master essential verbs like select, filter, and mutate to transform datasets and extract valuable insights.

• Coursera
• 2 hours 5 minutes
• On-Demand
• Paid Course

Coursera

Importing Data into R

19 ratings at Coursera

Learn to import various data types into R, including CSV, Excel, statistical software data, web data, and relational databases, enhancing your data analysis capabilities.

• Coursera
• 1 hour 57 minutes
• On-Demand
• Paid Course

Coursera

Forecast bikeshare demand using time series models in R

11 ratings at Coursera

Build a daily bike rental forecasting model using time series analysis in R. Enhance fleet management and pricing strategy through data cleaning, visualization, and model selection.

• Coursera
• 2 hours 22 minutes
• On-Demand
• Paid Course