Domain-Specific Languages (DSL) Courses and Certifications

Coursera

Job Shop Scheduling Using MILP Optimization on RStudio

Learn to optimize job shop scheduling using Mixed Integer Linear Programming in RStudio. Gain hands-on experience with formulating, solving, and analyzing complex scheduling problems using the lpSolveAPI library.

• Coursera
• 2 hours 2 minutes
• Self-Paced
• Paid Course

Coursera

Tidymodels in R: Building tidy machine learning models

Learn to build tidy machine learning models in R for healthcare analytics. Preprocess clinical data, train models, and create a pipeline to predict hospital readmissions using Tidymodels.

• Coursera
• 2 hours 54 minutes
• Self-Paced
• Paid Course

R Programming: Setup and Data Processing

Master R programming fundamentals from setup to data processing, covering atomic types, vectors, factors, and data frames for data science applications.

• Coursera
• 10 hours 25 minutes
• Self-Paced
• Paid Course

Board Infinity

GraphQL API Development: Schema Design,Security & Deployment

Build GraphQL APIs that go beyond basic queries—secure, real-time, and cloud-ready. In this course, you’ll master advanced schema design, secure data flow, real-time subscriptions, and scalable deployment. Use Apollo Server, Pub/Sub systems, and platform…

• Coursera
• 12 hours 19 minutes
• Self-Paced
• Paid Course

MathWorks

Creating Custom Apps in MATLAB

Discover how to build interactive MATLAB apps that transform data analysis into engaging, user-friendly experiences without requiring prior app design knowledge.

• Coursera
• 2 hours 22 minutes
• Self-Paced
• Paid Course

Career Certificate

R Programming for Data Science

Master R programming fundamentals for data analysis, statistical modeling, and visualization to extract valuable insights and create predictive models in 4 weeks.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

MLOps in R: Deploying machine learning models using vetiver

Learn to deploy machine learning models efficiently using Vetiver in R. Build ensemble models, set up deployment frameworks, and monitor performance through a hospital readmission scenario.

• Coursera
• 2 hours 39 minutes
• Self-Paced
• Paid Course

MathWorks

Low Code Image Segmentation

Quickly learn image segmentation using MATLAB apps for grayscale and color images, with code generation for automated processing of multiple images.

• Coursera
• 56 minutes
• Self-Paced
• Paid Course

Packt

Introduction to FinTech Using R

Explore FinTech using R: master money management, stock market timing, asset pricing, and build a web-based financial app. Gain practical skills for data-driven financial decision-making and algorithm development.

• Coursera
• 3 hours 54 minutes
• Self-Paced
• Paid Course

Coursera

Automate R scripts with GitHub Actions: Deploy a model

Automate R scripts for model deployment using GitHub Actions. Learn to access Google Sheets data and send automated emails, enhancing healthcare analytics workflow efficiency.

• Coursera
• 2 hours 56 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze Fraud Using Data Analytics and R

Discover fraud detection using R and data analytics to identify patterns, evaluate techniques, and apply machine learning for fraud prevention and risk assessment.

• Coursera
• 5 hours 52 minutes
• Self-Paced
• Paid Course

R Programming: Data Analysis and Modeling

Dive into R's data science capabilities with data manipulation, analysis, visualization using ggplot2, and statistical/machine learning modeling for predictions.

• Coursera
• 18 hours
• Self-Paced
• Paid Course

EDUCBA

Build Interactive Data Apps with R Shiny Fundamentals

Master interactive data visualization by building web applications with R Shiny, covering UI design, server logic, and reactive programming for dynamic dashboards.

• Coursera
• 3 hours 49 minutes
• Self-Paced
• Paid Course

R Programming: Conditionals, Loops, Functions, and Packages

Master R programming fundamentals including conditionals, loops, functions, and packages to build efficient, reusable code in this 5.5-hour hands-on programming course.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course

MGH Institute of Health Professions

Repeated Measures ANOVA and Non-parametric Statistics

Master repeated measures ANOVA and non-parametric statistical techniques for healthcare data analysis using R, focusing on analyzing multiple time points and non-normally distributed data.

• edX
• 4 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)