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Data Science Overview | |||
Introduction to Data Science | 00:01:00 | ||
Data Science: Career of the Future | 00:04:00 | ||
What is Data Science. | 00:02:00 | ||
Data Science as a Process | 00:02:00 | ||
Data Science Toolbox | 00:03:00 | ||
Data Science Process Explained | 00:05:00 | ||
What's Next | 00:01:00 | ||
R and RStudio | |||
Engine and Coding Environment | 00:03:00 | ||
Installing R and RStudio | 00:04:00 | ||
RStudio: A Quick Tour | 00:04:00 | ||
Introduction to Basics | |||
Arithmetic With R | 00:03:00 | ||
Variable Assignment | 00:04:00 | ||
Basic data types in R | 00:03:00 | ||
Vectors | |||
Creating a Vector | 00:05:00 | ||
Naming a Vector | 00:04:00 | ||
Arithmetic Calculations On Vectors | 00:07:00 | ||
Vector selection | 00:06:00 | ||
Selection By Comparison | 00:04:00 | ||
Matrices | |||
What's a Matrix | 00:02:00 | ||
Analyzing Matrices | 00:03:00 | ||
Naming a Matrix | 00:05:00 | ||
Adding Columns and Rows To a Matrix | 00:06:00 | ||
Selection of Matrix Elements | 00:03:00 | ||
Arithmetic with Matrices | 00:07:00 | ||
Factors | |||
What is Factor | 00:02:00 | ||
Categorical Variables and Factor Levels | 00:04:00 | ||
Summarizing a Factor | 00:01:00 | ||
Ordered Factors | 00:05:00 | ||
Data Frames | |||
What's a Data Frame | 00:03:00 | ||
Creating a Data Frame | 00:04:00 | ||
Selection of Data Frame elements | 00:03:00 | ||
Conditional selection | 00:03:00 | ||
Sorting a Data Frame | 00:03:00 | ||
Lists | |||
Why Would You Need Lists | 00:01:00 | ||
Creating Lists | 00:03:00 | ||
Selecting Elements From a List | 00:03:00 | ||
Adding more data to the list | 00:02:00 | ||
Relational Operators | |||
Equality | 00:03:00 | ||
Greater and Less Than | 00:03:00 | ||
Compare Vectors | 00:03:00 | ||
Compare Matrices | 00:02:00 | ||
Logical Operators | |||
AND, OR, NOT Operators | 00:04:00 | ||
Logical Operators with Vectors and Matrices | 00:04:00 | ||
Reverse the result: (!) | 00:01:00 | ||
Relational and Logical Operators Together | 00:06:00 | ||
Conditional Statements | |||
The IF Statement | 00:04:00 | ||
IFâ¦ELSE | 00:03:00 | ||
The ELSEIF Statement | 00:05:00 | ||
Full Exercise | 00:03:00 | ||
Loops | |||
Write a While Loop | 00:04:00 | ||
Looping With More Conditions | 00:04:00 | ||
Break: Stop the While Loop | 00:04:00 | ||
What's a For Loop | 00:02:00 | ||
Loop Over a Vector | 00:02:00 | ||
Loop Over a List | 00:03:00 | ||
Loop Over a Matrix | 00:03:00 | ||
For Loop With Conditionals | 00:01:00 | ||
Using Next and Break With For Loop | 00:03:00 | ||
Functions | |||
What is Function | 00:02:00 | ||
Arguments Matching | 00:03:00 | ||
Required and Optional Arguments | 00:03:00 | ||
Nested functions | 00:02:00 | ||
Writing Own Functions | 00:03:00 | ||
Functions With No Arguments | 00:02:00 | ||
Defining Default Arguments In Functions | 00:04:00 | ||
Function Scoping | 00:02:00 | ||
Control Flow in Functions | 00:03:00 | ||
R Packages | |||
Installing R Packages | 00:01:00 | ||
Loading R Packages | 00:04:00 | ||
Different Ways To Load a Package | 00:02:00 | ||
The Apply Family - Lapply | |||
What Is Lapply and When Is Used. | 00:04:00 | ||
Use Lapply With User-Defined Functions | 00:03:00 | ||
Lapply and Anonymous Functions | 00:01:00 | ||
Use lapply With Additional Arguments | 00:04:00 | ||
The Apply Family - Sapply & Vapply | |||
What is Sapply | 00:02:00 | ||
How to Use Sapply | 00:02:00 | ||
Sapply With Your Own Function | 00:02:00 | ||
Sapply With a Function Returning a Vector | 00:02:00 | ||
When Can't sapply Simplify. | 00:02:00 | ||
What is Vapply and Why is it Used. | 00:04:00 | ||
Useful Functions | |||
Mathematical Functions | 00:05:00 | ||
Data Utilities | 00:08:00 | ||
Regular Expressions | |||
Grepl & Grep | 00:04:00 | ||
Metacharacters | 00:05:00 | ||
Sub & Gsub | 00:02:00 | ||
More Metacharacters | 00:04:00 | ||
Dates And Times | |||
Today and Now | 00:02:00 | ||
Create and Format Dates | 00:06:00 | ||
Create and Format Times | 00:03:00 | ||
Calculations with Dates | 00:03:00 | ||
Calculations with Times | 00:07:00 | ||
Getting and Cleaning Data | |||
Get and Set Current Directory | 00:04:00 | ||
Get Data From the Web | 00:04:00 | ||
Loading Flat Files | 00:05:00 | ||
Loading Excel files | 00:03:00 | ||
Plotting Data in R | |||
Base Plotting System | 00:03:00 | ||
Base plots: Histograms | 00:03:00 | ||
Base plots: Scatterplots | 00:05:00 | ||
Base plots: Regression Line | 00:03:00 | ||
Base plots: Boxplot | 00:03:00 | ||
Data Manipulation With dplyr | |||
Introduction to Dplyr Package | 00:04:00 | ||
Using the Pipe Operator (%>%) | 00:02:00 | ||
Columns component: select() | 00:05:00 | ||
Columns component: rename() and rename_with() | 00:02:00 | ||
Columns Component: Mutate() | 00:02:00 | ||
Columns Ccomponent: Relocate() | 00:02:00 | ||
Rows Component: Filter() | 00:01:00 | ||
Rows Component: Slice() | 00:04:00 | ||
Rows Component: Arrange() | 00:01:00 | ||
Rows Component: Rowwise() | 00:02:00 | ||
Grouping of Rows: Summarise() | 00:03:00 | ||
Grouping of Rows: Across() | 00:02:00 | ||
COVID-19 Analysis Task | 00:08:00 | ||
Supplementary Resources | |||
Supplementary Resources - Learning R Programming for Data Science | 00:00:00 | ||
Certificate of Achievement | |||
Certificate of Achievement | 00:00:00 | ||
Get Your Insurance Now | |||
Get Your Insurance Now | 00:00:00 | ||
Feedback | |||
Feedback | 00:00:00 |