Udemy

R Programming: Advanced Analytics In R For Data Science

Name: R Programming: Advanced Analytics In R For Data Science
Price: 109.99 USD
Availability: InStock
Rating: 4.7 (9222 reviews)

4.7(9,222)63k studentsINTERMEDIATEEnglish

Korshub's take

Real-World Analytics: From Data Preparation to Applied Insight

This course accelerates your R skills through authentic case studies drawn from industry experience. You'll prepare financial data for analysis, work with date-times and lists, master the Apply family of functions (apply, lapply, sapply) as loop alternatives, and nest functions to solve complex problems—all skills you'll immediately deploy in your data science career.

Three rich scenarios anchor your learning: cleaning and analyzing financial data across industries, identifying underutilized machinery at a coal terminal, and uncovering weather patterns for a meteorology bureau. Each case mirrors the messiness and scope of real analysis, not textbook exercises. By handling median imputation, working with lists, and composing nested functions, you build genuine confidence in both foundational concepts and advanced techniques. The emphasis on practical knowledge over theory means you leave ready to tackle your own data challenges.

About this course

Ready to take your R Programming skills to the next level?

Want to truly become proficient at Data Science and Analytics with R?

This course is for you!

Professional R Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.

In this course, you will learn:

How to prepare data for analysis in R
How to perform the median imputation method in R
How to work with date-times in R
What Lists are and how to use them
What the Apply family of functions is
How to use apply(), lapply() and sapply() instead of loops
How to nest your own functions within apply-type functions
How to nest apply(), lapply() and sapply() functions within each other
And much, much more!

The more you learn, the better you will get. After every module, you will have a robust set of skills to take with you into your Data Science career.

We prepared real-life case studies.

In the first section, you will be working with financial data, cleaning it up, and preparing for analysis. You were asked to create charts showing revenue, expenses, and profit for various industries.

In the second section, you will be helping Coal Terminal understand what machines are underutilized by preparing various data analysis tasks.

In the third section, you are heading to the meteorology bureau. They want to understand better weather patterns and requested your assistance on that.