R Programming: Advanced Analytics In R For Data Science (Udemy.com)

Take Your R & R Studio Skills To The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2

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Created by: Kirill Eremenko

Produced in 2021

What you will learn

Perform Data Preparation in R
Identify missing records in dataframes
Locate missing data in your dataframes
Apply the Median Imputation method to replace missing records
Apply the Factual Analysis method to replace missing records
Understand how to use the which() function
Know how to reset the dataframe index
Work with the gsub() and sub() functions for replacing strings
Explain why NA is a third type of logical constant
Deal with date-times in R
Convert date-times into POSIXct time format
Create, use, append, modify, rename, access and subset Lists in R
Understand when to use [] and when to use [[]] or the $ sign when working with Lists
Create a timeseries plot in R
Understand how the Apply family of functions works
Recreate an apply statement with a for() loop
Use apply() when working with matrices
Use lapply() and sapply() when working wit

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Course Description

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 RHow to perform the median imputation method in RHow to work with date-times in RWhat Lists are and how to use themWhat the Apply family of functions isHow to use apply(), lapply() and sapply() instead of loopsHow to nest your own functions within apply-type functionsHow to nest apply(), lapply() and sapply() functions within each otherAnd much, much more!

The more you learn the better you will get.
After everymodule you will already have a strong set of skills to take with you into your Data Science career.
Who this course is for:
Anybody who has basic R knowledge and would like to take their skills to the next levelAnybody who has already completed the R Programming A-Z courseThis course is NOT for complete beginners in R

Time: 6h

Instructor Details

Kirill Eremenko

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My name is Kirill Eremenko and I am super-psyched that you are reading this!
Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.
From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.
To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!