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lifetime

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5.5 Hours

**Description**

- Access 59 lectures & 5.5 hours of content 24/7
- Harness R & R packages to read, process, & visualize data
- Understand the intricacies of all the different data structures in R
- Use descriptive statistics to perform a quick study of some data & present results
- Discuss data analysis & visualization w/ R

Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Details & Requirements

- Length of time users can access this course: lifetime
- Access options: web streaming, mobile streaming
- Certification of completion not included
- Redemption deadline: redeem your code within 30 days of purchase
- Experience level required: all levels

Compatibility

- Internet required

**Terms**

- Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

- Introduction
- You, This course and Us (1:53)
- R and RStudio installed (5:10)

- Diving into R
- Harnessing the power of R (7:26)
- Assigning Variables (8:48)
- Printing an output (13:03)
- Numbers are of type numeric (5:25)
- Characters and Dates (7:30)
- Logicals (3:24)

- Vectors
- Data Structures are the building blocks of R (8:24)
- Creating a Vector (2:23)
- The Mode of a Vector (4:18)
- Vectors are Atomic (2:24)
- Doing something with each element of a Vector (3:09)
- Aggregating Vectors (1:28)
- Operations between vectors of the same length (5:39)
- Operations between vectors of different length (5:30)
- Generating Sequences (6:25)
- Using conditions with Vectors (2:04)
- Find the lengths of multiple strings using Vectors (2:22)
- Generate a complex sequence (using recycling) (2:49)
- Vector Indexing (using numbers) (6:56)
- Vector Indexing (using conditions) (6:18)
- Vector Indexing (using names) (2:27)

- Arrays
- Creating an Array (11:36)
- Indexing an Array (7:38)
- Operations between 2 Arrays (2:09)
- Operations between an Array and a Vector (2:45)
- Outer Products (6:23)

- Matrices
- A Matrix is a 2-Dimensional Array (7:59)
- Creating a Matrix (2:00)
- Matrix Multiplication (2:49)
- Merging Matrices (2:06)
- Solving a set of linear equations (2:06)

- Factors
- What is a factor? (6:48)
- Find the distinct values in a dataset (using factors) (1:28)
- Replace the levels of a factor (2:18)
- Aggregate factors with table() (1:40)
- Aggregate factors with tapply() (5:07)

- Lists and Data Frames
- Introducing Lists (5:11)
- Introducing Data Frames (4:28)
- Reading Data from files (4:52)
- Indexing a Data Frame (5:38)
- Aggregating and Sorting a Data Frame (6:28)
- Merging Data Frames (3:30)

- Descriptive Statistics
- Descriptive Statistics : Mean, Median, Mode (10:07)
- Our first foray into R : Frequency Distributions (6:07)
- Draw your first plot : A Histogram (3:11)
- Computing Mean, Median, Mode in R (2:21)
- What is IQR (Inter-quartile Range)? (8:08)
- Box and Whisker Plots (3:11)
- The Standard Deviation (10:24)
- Computing IQR and Standard Deviation in R (6:06)

- Data Visualization in R
- Data Visualization (6:23)
- The plot() function in R (3:42)
- Control color palettes with RColorbrewer (4:15)
- Drawing barplots (5:25)
- Drawing a heatmap (2:52)
- Drawing a Scatterplot Matrix (3:41)
- Plot a line chart with ggplot2 (8:19)

access

lifetime

content

5.5 Hours