Data Science
R Programming — Use the R programming language for data analysis, statistical modeling, and data visualization.
R Programming
Build a strong foundation in data analytics and statistical analysis using R, R Studio, and GGPlot2 through step-by-step, real-world exercises designed for complete beginners.
R Programming
Master R programming fundamentals, analyze complex datasets, and create clear data visualizations to start your journey in data science and analytics.
R Programming
Master the fundamentals of predictive deep learning and build neural network models for business analysis using R without complex math or coding experience.
R Programming
Learn to build, evaluate, and interpret predictive models using decision trees, ensemble methods, and XGBoost in R to solve practical business problems.
R Programming
Master the fundamentals of regression and classification in R to solve business problems, prepare data, and interpret predictive models with confidence.
R Programming
Master the fundamentals of R programming to manipulate data, create visualizations, and perform statistical analysis without any prior coding experience.
R Programming
Learn to import, clean, analyze, and visualize data using RStudio and modern statistical packages.
R Programming
Learn to manage datasets, perform statistical tests, and create professional visualizations using R and RStudio for reproducible research.
R Programming
Learn R programming from scratch to perform statistical analysis, clean complex datasets, and build professional data visualizations with ggplot2.
R Programming
Learn to perform hypothesis testing, ANOVA, and regression analysis in R using modern data practices to draw meaningful insights from your datasets.
R Programming
Learn to perform complex statistical tests, predictive modeling, and data grouping using modern R libraries and tidy data workflows.
R Programming
Master supervised and unsupervised machine learning algorithms in R, from foundational theory to building predictive models and clustering workflows.
R Programming
Learn to analyze historical patterns, handle complex date-time formats, and build accurate predictive models in R using both classic and modern tidy frameworks.
R Programming
Build a strong foundation in R, from basic data structures to advanced data wrangling and visualization with the Tidyverse.
R Programming
Learn how to analyze real-world data, perform hypothesis testing, and build predictive statistical models using modern R programming workflows.
R Programming
Master R programming to analyze complex datasets, build predictive machine learning models, and deploy interactive web applications using Shiny.
R Programming
Master the fundamentals of R to handle data manipulation, mathematical computations, and statistical modeling with confidence.
R Programming
Learn to analyze trends, model seasonality, and forecast future values using R through hands-on practical scenarios and real-world datasets.
R Programming
Learn to program probabilistic models and Monte Carlo simulations in R to solve real-world statistical problems with confidence.
R Programming
Build a solid foundation in R and statistics by exploring data analysis, visualization, and predictive modeling using real-life scenarios.
R Programming
Learn to build regression models, forecast trends, cluster data, and analyze text using R to turn raw datasets into actionable business insights.
R Programming
Build, evaluate, and interpret regression models for statistical analysis and predictive machine learning using R.
R Programming
Build essential skills in data exploration, visualization, and predictive modeling using R and RStudio to solve real-world analytics problems.
R Programming
Learn to manipulate data, create professional visualizations, and build predictive machine learning models using R and RStudio to solve real-world business problems.
Showing 24 of 118 courses