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Advanced R

Become an R master and dominate data science
4.7
4.7/5
(46 reviews)
404 students
Created by

7.4

CourseMarks Score®

3.6

Freshness

9.1

Feedback

9.0

Content

Platform: Udemy
Video: 4h 41m
Language: English
Next start: On Demand

Table of contents

Description

This course is intended for R and data science professionals aiming to master R. Intermediate and advanced users, will both find that this course will separate them from the rest of people doing analytics with R. We don’t recommend this course on beginners.

We start by explaining how to work with closures, environments, dates, and more advanced topics. We then move into regex expressions and parsing html data. We explain how to write R packages, and write the proper documentation that the CRAN team expects if you want to upload your code into R’s libraries.  After that we introduce the necessary skills for profiling your R code. We then move into C++ and Rcpp, and we show how to write super fast C++ parallel code that uses OpenMP. Understanding and mastering Rcpp will allow you to push your R skills to another dimension. When your colleagues are writing R functions, you will be able to get Rcpp+OpenMP equivalent code running 4-8X times faster. We then move into Python and Java, and show how these can be called from R and vice-versa. This will be really helpful for writing code that leverages the excellent object oriented features from this pair of languages. You will be able to build your own classes in Java or Python that store the data that you get from R. Since the Python community is growing so fast, and producing so wonderful packages, it’s great to know that you will be able to call any function from any Python package directly from R. We finally explain how to use sqldf, which is a wonderful package for doing serious, production grade data processing in R. Even though it has its limitations, we will be able to write SQL queries directly in R. We will certainly show how to bypass those limitations, such as its inability to write full joins using specific tricks. 
All the code (R,JAVA,C++,.csv) used in this course is available for download, and all the lectures can be downloaded as well. Our teaching strategy is to present you with examples carrying the minimal complexity, so we hope you can easily follow each lecture. In case you have doubts or comments, feel free to send us a message

You will learn

✓ Build R packages
✓ Write C++ code in R via Rcpp
✓ Do complex date parsing
✓ Profile and benchmark their programs
✓ Build parallel code
✓ Parse complex text via Regex
✓ And much more!

Requirements

• A few weeks experience with R is absolutely necessary, and ideally some months of experience would be better
• Being able to code functions, manipulate data, and be comfortable writing complex R code
• Some experience with other programming languages (such as Python – Java) would be beneficial, but it is not necessary

This course is for

• Intermediate and advanced R users
• Basic R users (with a few weeks of experience) can also take this course. They might find some parts difficult, specially if they lack programming experience

How much does the Advanced R course cost? Is it worth it?

The course costs $14.99. And currently there is a 70% discount on the original price of the course, which was $49.99. So you save $35 if you enroll the course now.
The average price is $18.7 of 161 R courses. So this course is 20% cheaper than the average R course on Udemy.

Does the Advanced R course have a money back guarantee or refund policy?

YES, Advanced R has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Advanced R course, but there is a $35 discount from the original price ($49.99). So the current price is just $14.99.

Who is the instructor? Is Francisco Juretig a SCAM or a TRUSTED instructor?

Francisco Juretig has created 9 courses that got 445 reviews which are generally positive. Francisco Juretig has taught 24,043 students and received a 3.9 average review out of 445 reviews. Depending on the information available, Francisco Juretig is a TRUSTED instructor.
Mr
I worked for 7+ years exp as statistical programmer in the industry. Expert in programming, statistics, data science, statistical algorithms. I have wide experience in many programming languages. Regular contributor to the R community, with 3 published packages. I also am expert SAS programmer. Contributor to scientific statistical journals. Latest publication on the Journal of Statistical Software.
Browse all courses by on Coursemarks.
Platform: Udemy
Video: 4h 41m
Language: English
Next start: On Demand

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