Domain-Specific Languages (DSL) Courses and Certifications

EDUCBA Career Certificate

Analyze and Apply R for Data Analytics

Master R programming for data analytics, statistical modeling, and visualization through hands-on projects and real-world case studies in this beginner-friendly specialization.

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

Mastering Data Wrangling with dplyr

Master dplyr for R data manipulation through hands-on practice with retail sales data, learning to filter, arrange, and transform datasets using pipe operators and essential functions.

• Coursera
• 6 hours 27 minutes
• Self-Paced
• Paid Course

Computer Science 114: Programming in R

Learn R programming fundamentals, data processing, and transformation techniques through engaging lessons and expert instruction suitable for beginners and degree-seekers alike.

• Study.com
• 10 hours 56 minutes
• Self-Paced
• Paid Course

EDUCBA

Linear Regression with R: Build & Optimize

Master linear regression fundamentals and advanced techniques in R, building simple to multiple models, applying dummy variables, and optimizing through backward elimination for real-world data analysis.

• Coursera
• 6 hours 33 minutes
• Self-Paced
• Paid Course

EDUCBA

Build an Interactive Investment App with R Shiny

Master R Shiny by building a complete investment app with interactive UI, authentication, data visualization, and deployment from setup to production.

• Coursera
• 8 hours 24 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze HR Attrition Using R Analytics

Master HR attrition analysis through hands-on R programming, statistical techniques, and predictive modeling to make data-driven workforce decisions.

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

Manipulate Text Like a Pro with stringr

Master text manipulation in R using stringr package for cleaning, transforming, and extracting information from text data with regex and real-world examples.

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

EDUCBA

R: Apply & Analyze K-Means Clustering for Unsupervised ML

Master K-Means clustering in R through hands-on implementation, data preparation, and customer segmentation analysis for real-world unsupervised machine learning applications.

• Coursera
• 2 hours 34 minutes
• Self-Paced
• Paid Course

Coursera

Transform, Analyze, and Report Data with R

Master end-to-end data analysis with R using Tidyverse, dplyr pipelines, automated R Markdown reports, and model evaluation techniques like ROC curves and cross-validation.

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

EDUCBA

Apply Advanced XPath Techniques for Automation Testing

Master advanced XPath functions, conditional logic, and dynamic element selection for robust automation testing with hands-on practice and real-world scenarios.

• Coursera
• 7 hours 57 minutes
• Self-Paced
• Paid Course

EDUCBA

Master XPath Fundamentals for XML Navigation

Discover XPath fundamentals to navigate XML structures, construct precise expressions, and master axes for effective automation testing and web scraping applications.

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

Coursera

Evaluate and Explain Retention Curves

Master retention measurement approaches and survival analysis techniques to uncover actionable user insights and distinguish between key retention formulas for product strategy.

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

EDUCBA Career Certificate

Master XPath Querying for XML and Automation

Unlock XPath mastery from basics to advanced automation techniques for XML processing, web scraping, and testing across .NET environments with hands-on practice.

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

EDUCBA

Master Decision Trees in R: Build, Predict & Evaluate

Discover how to build, interpret, and evaluate decision tree models in R for classification and regression using real-world datasets like bank loans and diabetes outcomes.

• Coursera
• 8 hours 8 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Exploratory Data Analysis with R and ggplot2

Master data exploration and visualization using R and ggplot2 to uncover patterns, analyze relationships, and create professional plots for data-driven insights.

• Coursera
• 5 hours 43 minutes
• Self-Paced
• Paid Course