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Course Curriculum

0.0 Advanced R Programming - Course Details
0.0 Advanced R Programming – Course Details 00:00:00
1.1 Welcome to the Advanced R Programming Course!
1.1 Welcome to the Advanced R Programming Course! 00:00:00
2.1 Welcome to this section. This is what you will learn!
2.1 Welcome to this section. This is what you will learn! 00:00:00
2.2 Project Brief Financial Review
2.2 Project Brief Financial Review 00:00:00
2.3 Import Data into R
2.3 Import Data into R 00:00:00
2.4 What are Factors (Refresher)
2.4 What are Factors (Refresher) 00:00:00
2.5 The Factor Variable Trap
2.5 The Factor Variable Trap 00:00:00
2.6 FVT Example
2.6 FVT Example 00:00:00
2.7 gsub() and sub()
2.7 gsub() and sub() 00:00:00
2.8 Dealing with Missing Data
2.8 Dealing with Missing Data 00:00:00
2.9 What is an NA
2.9 What is an NA 00:00:00
2.10 An Elegant Way To Locate Missing Data
2.10 An Elegant Way To Locate Missing Data 00:00:00
2.11 Data Filters which() for Non-Missing Data
2.11 Data Filters which() for Non-Missing Data 00:00:00
2.12 Data Filters is.na() for Missing Data
2.12 Data Filters is.na() for Missing Data 00:00:00
2.13 Removing records with missing data
2.13 Removing records with missing data 00:00:00
2.14 Reseting the dataframe index
2.14 Reseting the dataframe index 00:00:00
2.15 Replacing Missing Data Factual Analysis Method
2.15 Replacing Missing Data Factual Analysis Method 00:00:00
2.16 Replacing Missing Data Median Imputation Method (Part 1)
2.16 Replacing Missing Data Median Imputation Method (Part 1) 00:00:00
2.17 Replacing Missing Data Median Imputation Method (Part 2)
2.17 Replacing Missing Data Median Imputation Method (Part 2) 00:00:00
2.18 Replacing Missing Data Median Imputation Method (Part 3)
2.18 Replacing Missing Data Median Imputation Method (Part 3) 00:00:00
2.19 Replacing Missing Data Deriving Values Method
2.19 Replacing Missing Data Deriving Values Method 00:00:00
2.20 Visualizing results
2.20 Visualizing results 00:00:00
2.21 Section Recap
2.21 Section Recap 00:00:00
3.1 Welcome to this section. This is what you will learn!
3.1 Welcome to this section. This is what you will learn! 00:00:00
3.2 Project Brief Machine Utilization
3.2 Project Brief Machine Utilization 00:00:00
3.3 Import Data Into R
3.3 Import Data Into R 00:00:00
3.4 Handling Date-Times in R
3.4 Handling Date-Times in R 00:00:00
3.5 What is a List
3.5 What is a List 00:00:00
3.6 Naming components of a list
3.6 Naming components of a list 00:00:00
3.7 Extracting components lists [] vs [[]] vs $
3.7 Extracting components lists [] vs [[]] vs $ 00:00:00
3.8 Adding and deleting components
3.8 Adding and deleting components 00:00:00
3.9 Subsetting a list
3.9 Subsetting a list 00:00:00
3.10 Creating A Timeseries Plot
3.10 Creating A Timeseries Plot 00:00:00
3.11 Creating A Timeseries Plot
3.11 Creating A Timeseries Plot 00:00:00
4.1 Welcome to this section. This is what you will learn!
4.1 Welcome to this section. This is what you will learn! 00:00:00
4.2 Project Brief Weather Patterns
4.2 Project Brief Weather Patterns 00:00:00
4.3 Import Data into R
4.3 Import Data into R 00:00:00
4.4 What is the Apply family
4.4 What is the Apply family 00:00:00
4.5 Using apply()
4.5 Using apply() 00:00:00
4.6 Recreating the apply function with loops (advanced topic)
4.6 Recreating the apply function with loops (advanced topic) 00:00:00
4.7 Using lapply()
4.7 Using lapply() 00:00:00
4.8 Combining lapply() with []
4.8 Combining lapply() with [] 00:00:00
4.9 Adding your own functions
4.9 Adding your own functions 00:00:00
4.10 Using sapply()
4.10 Using sapply() 00:00:00
4.11 Nesting apply() functions
4.11 Nesting apply() functions 00:00:00
4.12 which.max() and which.min() (advanced topic)
4.12 which.max() and which.min() (advanced topic) 00:00:00
5 Your special bonus
5 Your special bonus 00:00:00
5.1 Your special bonus
5.1 Your special bonus 00:00:00
Advanced R Programming Course Details
Advanced R Programming Course Details 00:00:00

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  • 1 week, 3 days
1 STUDENTS ENROLLED
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