R (programming language) courses

4.14

Any scientific task without the knowledge of software is difficult to imagine and complete in the current scenario. R is a free software that is capable of handling mathematical and statistical manipulations. It has its...

Why Learn R? R is a widely used statistical programming language that’s beloved by users in academia and industry. R works well with data, making it a great language for anyone interested in data analysis,...

4.42

Extra Fundamentals of R is an extension of the Udemy course Essential Fundamentals of R. Extra Fundamentals of R introduces additional topics of interest and relevance utilizing many specific R-scripted examples. These broad topics include:...

3.49

This course will provide the entire toolbox you need to become a data scientist and machine learning engineer. Data scientist is one of the most in demand professions to thrive this century. Data Science and...

This course will teach you how to do data science projects on your own computer locally. In this course, you will learn about: Using the Command Line Installing and using Jupyter Notebooks Setting up and...

4.06

Data Science - Hypothesis Testing using Minitab, R is designed to cover majority of the capabilities from Analytics & Data Science perspective, which includes the following: Learn how to formulate a hypothesis statements with business...

4.58

Let’s get your data in shape! Data Pre-Processing is the very first step in data analytics. You cannot escape it, it is too important. Unfortunately this topic is widely overlooked and information is hard to...

4.21

If you want to learn how to perform the most useful statistical analyses in the R program, you have come to the right place. Now you don’t have to scour the web endlessly in order...

Why Learn Linear Regression in R? This course is an introduction to the topic of linear regression and how to implement them using the R programming language. Linear regression models are used in machine learning,...

3.74

You are interested in learning about R Programming and getting into the wide realm of Data Science. You have probably wondered what is the most practical way of getting your feet wet in Data Science...

4.03

This course is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner,...

3.89

The Comprehensive Programming in R Course is actually a combination of two R programming courses that together comprise a gentle, yet thorough introduction to the practice of general-purpose application development in the R environment. The...

4.09

This is a R crash course for anyone who previously had no or very little contact with script-based programming in R. The main goal is to establish the basic understanding needed for more advanced courses...

Why Learn dyplr? This course is an introduction to the dpylr package and how to use it with the R programming language. The dpylr package is commonly used to clean and work with data. R...

3.7

This course, The Comprehensive Statistics and Data Science with R Course, is mostly based on the authoritative documentation in the online "An Introduction to R" manual produced with each new R release by the Comprehensive...

4.16

See things in your data that no one else can see – and make the right decisions! Due to modern technology and the internet, the amount of available data grows substantially from day to day....

3.46

This Learning R training course from Infinite Skills will teach you how to use R, a programming language used for statistical computing and graphics. This course is designed for beginners that have no previous R...

3.61

Full Course Content Last Update 07/2018Learn regression machine learning through a practical course with R statistical software using S&P 500® Index ETF prices historical data for algorithm learning. It explores main concepts from basic to...

4.22

If you want to learn how to perform real advanced statistical analyses in the R program, you have come to the right place. Now you don’t have to scour the web endlessly in order to...

4.39

APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN RCOMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R Confounded by Confidence Intervals? Pondering Over p-val...