Learning Path: R Programming

Get started with Spark for large-scale distributed data science and processing

4.10 (17 reviews)
Udemy
platform
English
language
Databases
category
Learning Path: R Programming
160
students
9 hours
content
Apr 2017
last update
$19.99
regular price

What you will learn

Create and master the manipulation of vectors, lists, dataframes, and matrices

Write conditional control structures, and debug and handle errors for efficient error handling

Handle dates using lubridate and manipulate strings with stringr package

Work with databases without having to write SQL using the dplyr package

Work on a full-scale data analysis / data munging project

Perform pre-model-building steps

Understand the working behind core machine learning algorithms

Implement unsupervised learning algorithms

Construct nice looking charts with Ggplot2

Build R packages from scratch and submit them to CRAN

Why take this course?

Do you want to step into the ever-growing field of data science? Do you wish to equip yourself with one of the most widely used language for data science?

Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.

Data is on the rise and it’s the need of the hour to process it and make sense out it. Analysts and statisticians need to get this job done. It’s an art to tactfully and efficiently process data. But, as it goes an art becomes a reality only with the help of right tools and the knowledge of using these right. So, it is with data science. R is a powerful language that provides with all the tools required to build probabilistic models, perform data science, and build machine learning algorithms.

With this Learning Path, you’ll be introduced to R Studio and the basics of R. Then, you’ll taken through a number of topics such as handling dates with the lubridate package, handling strings with the stringr package, and making statistical inferences. Finally,  the focus will be on machine learning concepts in depth and applying them in the real world with R.

The goal of this course to introduce you to R and have a solid knowledge of machine learning and the R language itself. You’ll also solve numerous coding challenges throughout the course.

This Learning Path is authored by one of the best in the fields.

Selva Prabhakaran Selva Prabhakaran is a data scientist with a large E-commerce organization. In his 7 years of experience in data science, he has tackled complex real-world data science problems and delivered production-grade solutions for top multinational companies. Selva lives in Bangalore with his wife.

Screenshots

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Reviews

Stephan
December 12, 2017
Der Kurs an sich ist gut. Zumindest der erste Teil. Den zweiten Teil konnte ich aufgrund des schrecklichen Sprechers nicht durchstehen.
Marta
June 20, 2017
Very dense, not properly explained, but a lot of useful formulas so it can be used as formulas library for copy and paste approach to programming.
Emrick
February 28, 2017
Very concise and helpful course. The little challenges at end of the videos are really good excises. The narrating voice sound a little weird, though.

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Related Topics

1113514
udemy ID
2/14/2017
course created date
5/18/2022
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