Data science courses in R (/python/etc.) for $11 at Udemy (Sitewide Sale until April 16th)

[social4i size=”large” align=”float-right”] Udemy is offering readers of R-bloggers access to its global online learning marketplace for $15 per course! This deal (offering over 50%-90% discount) is for hundreds of their courses – including many R-Programming, data science, machine learning etc. Click here to browse ALL (R and non-R) courses Advanced R courses: 

• Regression modelling
  • Comprehensive Linear Modeling with R (15 Hours of video)
  • Linear regression in R for Data Scientists (7 hours)
  • Linear Mixed-Effects Models with R (11 Hours of video)
  • Linear Regression, GLMs and GAMs with R (8 hours)
  • Forecasting Models with R (5 hours)
  • Time Series Analysis and Forecasting in R (3 Hours of video)
  • Regression, Data Mining, Text Mining, Forecasting using R (32 hours)
• Statistical/machine learning
  • Bayesian Computational Analyses with R (12 Hours of video)
  • Data Science and Machine Learning Bootcamp with R (17 hours)
  • Decision Tree – Theory, Application and Modeling using R (5 hours)
  • Data Mining with R: Go from Beginner to Advanced! (12 hours)
  • Machine Learning A-Z™: Hands-On Python & R In Data Science (40 hours)
  • Applied Multivariate Analysis with R (13 Hours of video)
•  Visualization
  • Graphs in R (ggplot2, plotrix, base R) – Data Visualization with R Programming Language (5 Hours of video)
  • Multivariate Data Visualization with R (7 Hours of video)
• Other topics
  • Create Interactive Web Applications with the R Shiny Package (8 hours)
  • More Data Mining with R (11 Hours of video)
  • Text Mining, Scraping and Sentiment Analysis with R (4 Hours of video)
  • Text Analytics/Text Mining Using R (1 hour)
  • Core Spatial Data Analysis: Introductory GIS with R and QGIS (2 hours)
  • Spatial Data Analysis with R, QGIS & More (4 hours)

• R programming
  • The Comprehensive Programming in R Course (25 Hours of video)
  • R Programming for Simulation and Monte Carlo Methods (12 Hours of video)
  • Programming Statistical Applications in R (12 Hours of video)
  • R Programming A-Z™: R For Data Science With Real Exercises! (10 hours)
  • R Programming: Advanced Analytics In R For Data Science (6 hours)

Introductory R courses: 

• Introduction to R (15 Hours of video)
• Applied Data Science with R (11 Hours of video)
• R Level 1 – Data Analytics with R (6 Hours of video)
• Learn R Programming from Scratch (2 Hours of video)
• Statistics in R – The R Language for Statistical Analysis (3 Hours of video)
• Machine Learning and Statistical Modeling with R Examples (3 Hours of video)
• Introduction To Data Science (6 Hours of video)

Top data science courses (not in R): 

• Learning Python for Data Analysis and Visualization (20 Hours of video)
• Taming Big Data with MapReduce and Hadoop – Hands On! (5.5 Hours of video)
• Tableau 9 Advanced Training: Master Tableau for Data Science (7 Hours of video) (not R, but relevant to R users who wish to create dashboards with interactive visualizations using a GUI)