R (programming language) courses

4.12

A warm welcome to the R Programming for Beginners course by UplatzR is a programming language regularly used for arithmetical computing and graphical demonstration to examine and visualize data. R is a software environment which...

3.01

Beginners Training on R ProgrammingR is a programming language and related to software environment for statistical computing and graphics. R programming languages is mostly used in graphics, it also used mostly by statisticians for developing...

3.83

If you are looking for that one course that includes everything about data visualization with R, this is it. Let’s get on this data visualization journey together. This course is a blend of text, videos,...

4.39

Comprehensive Linear Modeling with R provides a wide overview of numerous contemporary linear and non-linear modeling approaches for the analysis of research data. These include basic, conditional and simultaneous inference techniques; analysis of v...

4.74

Welcome to this course of R Programming for Beginners with the hands-on tutorial, and become an R Professional which is one of the most favoured skills, that employer's need. Whether you are new to programming...

4.38

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...

4.55

Data Science and Analytics is a highly rewarding career that allows you to solve some of the world’s most interesting problems. The field of data science has exploded in the past two decades and shows...

4.44

Hi there,Welcome to my “R For Beginners: Learn R Programming from Scratch” course. R, r programming, r language, data science, machine learning, r programming language, r studio, data analytics, statistics, data science, data mining, machine...

3.98

Full Course Content Last Update 04/2018 Learn forecasting models through a practical course with R statistical software using S&P 500® Index ETF prices historical data. It explores main concepts from basic to expert level which...

3.9

Case Studies in Data Mining was originally taught as three separate online data mining courses. We examine three case studies which together present a broad-based tour of the basic and extended tasks of data mining...

4.5

Welcome to the course, R Programming from ScratchR is a powerful and widely used open source software and programming environment for data analysis. Companies across the globe use R as an essential tool for various...

More Data Mining with R presents a comprehensive overview of a myriad of contemporary data mining techniques. More Data Mining with R is the logical follow-on course to the preceding Udemy course Data Mining with...

3.81

What is this course about? This course helps student learn R syntax for Import / Enter / Viewing data and metadata in R Conduct Frequency Distribution Analysis / Univariate Analysis in R Create derived variables...

4.35

'R Crash Course - a short and concise introduction to R and R Studio, R-programming for the Beginners'This is an R crash course for anyone who previously had no or very little contact with script-based...

4.12

This is a "hands-on" business analytics, or data analytics course teaching how to use the popular, no-cost R software to perform dozens of data mining tasks using real data and data mining cases. It teaches...

3.18

As we rightly know that R is a programming language and software environment used for statistical analysis, data modeling, graphical representation and reporting. The module activates the demonstration of how R is the best tool...

4.26

Bayesian Computational Analyses with R is an introductory course on the use and implementation of Bayesian modeling using R software. The Bayesian approach is an alternative to the "frequentist" approach where one simply takes a...

4.18

R Programming for Simulation and Monte Carlo Methods focuses on using R software to program probabilistic simulations, often called Monte Carlo Simulations. Typical simplified "real-world" examples include simulating the probabilities of a baseball...

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In under an hour we will cover the fundamentals of R programming. The first part of the video will be about understanding WHY we do things in R and then in the second part I...

3.82

In this course, we cover two analytics techniques: Descriptive statistics and Predictive analytics. For the predictive analytic, our main focus is the implementation of a logistic regression model a Decision tree and neural network. We...