Module 1 Module 1 – Welcome To The Course
Unit 1 Welcome to the Advanced R Programming Course!
Module 2 Module 2 – Data Preparation
Unit 1 Welcome to this section. This is what you will learn!
Unit 2 Project Brief: Financial Review
Unit 3 Import Data into R
Unit 4 What are Factors (Refresher)
Unit 5 The Factor Variable Trap
Unit 6 FVT Example
Unit 7 gsub() and sub()
Unit 8 Dealing with Missing Data
Unit 9 What is an NA?
Unit 10 An Elegant Way To Locate Missing Data
Unit 11 Data Filters: which() for Non-Missing Data
Unit 12 Data Filters: is.na() for Missing Data
Unit 13 Removing records with missing data
Unit 14 Reseting the dataframe index
Unit 15 Replacing Missing Data: Factual Analysis Method
Unit 16 Replacing Missing Data: Median Imputation Method (Part 1)
Unit 17 Replacing Missing Data: Median Imputation Method (Part 2)
Unit 18 Replacing Missing Data: Median Imputation Method (Part 3)
Unit 19 Replacing Missing Data: Deriving Values Method
Unit 20 Visualizing results
Unit 21 Section Recap
Unit 22 Quiz 1 – Data Preparation
Module 3 Module 3 – Lists in R
Unit 1 Welcome to this section. This is what you will learn!
Unit 2 Project Brief: Machine Utilization
Unit 3 Import Data Into R
Unit 4 Handling Date-Times in R
Unit 5 What is a List?
Unit 6 Naming components of a list
Unit 7 Extracting components lists: [] vs [[]] vs $
Unit 8 Adding and deleting components
Unit 9 Subsetting a list
Unit 10 Creating A Timeseries Plot
Unit 11 Section Recap
Unit 12 Quiz 2 – Lists in R
Module 4 Module 4 – “Apply” Family Of Functions
Unit 1 Welcome to this section. This is what you will learn!
Unit 2 Project Brief: Weather Patterns
Unit 3 Import Data into R
Unit 4 What is the Apply family?
Unit 5 Using apply()
Unit 6 Recreating the apply function with loops (advanced topic)
Unit 7 Using lapply()
Unit 8 Combining lapply() with []
Unit 9 Adding your own functions
Unit 10 Using sapply()
Unit 11 Nesting apply() functions
Unit 12 which.max() and which.min() (advanced topic)
Unit 13 Section Recap
Unit 14 Quiz 3 – “Apply” Family of Functions
Powered By WP Courseware

Advanced R Programming

WordPress database error: [Table 'forexboa_wp_f4t2.wp_f4t2h9p1_prli_keywords' doesn't exist]
SELECT kw.text as keyword, li.name as title, li.url as link_url, li.id as link_id, CONCAT('http://www.superdatascience.com/',li.slug) AS url FROM wp_f4t2h9p1_prli_links li JOIN wp_f4t2h9p1_prli_keywords kw ON li.id=kw.link_id WHERE kw.text <> '' ORDER BY CHAR_LENGTH(kw.text) DESC, kw.text ASC

take-this-course

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 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 already have a strong set of skills to take with you into your Data Science career.