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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