The Complete R Programming for Data Science – 7 courses in 1

Beginner to Pro: Learn Rstudio, language, ggplot2, dplyr, analysis visualization, statistics, machine learning, projects

Created by Numyard Data Science Team, Selva Prabhakaran, Codestars by Rob Percival | 18 hours on-demand video course

In The Complete R-Programming for Data Science & Statistics program, we have carefully designed 7 Full-Fledged courses into 1 Master Course of 200+ videos, 50+ R-Packages, Core Machine Learning and statistics concepts, 75+ practice problems and 2 Industrial projects. By end of this course, you will be able to solve Industry Data Science project in R starting including model building, model diagnostics and presenting actionable business insights

What you’ll learn

• Learn to program in R Language
• Learn to use R Studio
• Master statistics for machine learning
• Master Vectors, Lists & Dataframes
• Create variables and run loops
• Perform binding functions & set operations
• Create professional plots using GGPlot2
• Master statistics for machine learning
• Learn to use ML models for business
• Solve Industry projects end-to-end
• Advanced data manipulation with Data Table
• Advanced programming with Dplyr package
• Create full featured plots using base graphics
• Elegant pipe syntax codes using Magrittr
• Learn Data Manipulation verbs
• Learn Law of large numbers
• Central Limit Theorem & Normal Distribution
• Statistical significance tests: t Tests , ANOVA, and more
• Master linear & Logistics regression models
• Build Statistical models from scratch
• Perform post model building diagnostics
• Hand computation of statistical tests
• Master model insight generation skills
• Learn how to present insights to stakeholders

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