Course Library View the full range of courses
Accounting (92 courses)
Employability (850 courses)
Health and Social Care (129 courses)
IT & Software (100 courses)
Language (58 courses)
Management (346 courses)
Personal Development (1318 courses)
Teach & Education (99 courses)
Unit 01: 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 | ||
Unit 02: R and RStudio | |||
Engine and coding environment | 00:03:00 | ||
Installing R and RStudio | 00:04:00 | ||
RStudio: A quick tour | 00:04:00 | ||
Unit 03: Introduction to Basics | |||
Arithmetic with R | 00:03:00 | ||
Variable assignment | 00:04:00 | ||
Basic data types in R | 00:03:00 | ||
Unit 04: 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 | ||
Unit 05: 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 | ||
Additional Materials | 00:00:00 | ||
Unit 06: Factors | |||
What’s a Factor? | 00:02:00 | ||
Categorical Variables and Factor Levels | 00:04:00 | ||
Summarizing a Factor | 00:01:00 | ||
Ordered Factors | 00:05:00 | ||
Unit 07: Data Frames | |||
What’s a Data Frame? | 00:03:00 | ||
Creating Data Frames | 00:20:00 | ||
Selection of Data Frame elements | 00:03:00 | ||
Conditional selection | 00:03:00 | ||
Sorting a Data Frame | 00:03:00 | ||
Additional Materials | 00:00:00 | ||
Unit 08: Lists | |||
Why would you need lists? | 00:01:00 | ||
Creating a List | 00:06:00 | ||
Selecting elements from a list | 00:03:00 | ||
Adding more data to the list | 00:02:00 | ||
Additional Materials | 00:00:00 | ||
Unit 09: Relational Operators | |||
Equality | 00:03:00 | ||
Greater and Less Than | 00:03:00 | ||
Compare Vectors | 00:03:00 | ||
Compare Matrices | 00:02:00 | ||
Additional Materials | 00:00:00 | ||
Unit 10: 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 | ||
Additional Materials | 00:00:00 | ||
Unit 11: Conditional Statements | |||
The IF statement | 00:04:00 | ||
IF…ELSE | 00:03:00 | ||
The ELSEIF statement | 00:05:00 | ||
Full Exercise | 00:03:00 | ||
Additional Materials | 00:00:00 | ||
Unit 12: 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 | 00:04:00 | ||
For loop with conditionals | 00:01:00 | ||
Using Next and Break with For loop | 00:03:00 | ||
Additional Materials | 00:00:00 | ||
Unit 13: Functions | |||
What is a 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 | ||
Additional Materials | 00:00:00 | ||
Unit 14: R Packages | |||
Installing R Packages | 00:01:00 | ||
Loading R Packages | 00:04:00 | ||
Different ways to load a package | 00:02:00 | ||
Additional Materials | 00:00:00 | ||
Unit 15: 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 | ||
Additional Materials | 00:00:00 | ||
Unit 16: 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 | ||
Additional Materials | 00:00:00 | ||
Unit 17: Useful Functions | |||
Mathematical functions | 00:05:00 | ||
Data Utilities | 00:08:00 | ||
Additional Materials | 00:00:00 | ||
Unit 18: Regular Expressions | |||
grepl & grep | 00:04:00 | ||
Metacharacters | 00:05:00 | ||
sub & gsub | 00:02:00 | ||
More metacharacters | 00:04:00 | ||
Additional Materials | 00:00:00 | ||
Unit 19: 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 | ||
Additional Materials | 00:00:00 | ||
Unit 20: Getting and Cleaning Data | |||
Get and set current directory | 00:04:00 | ||
Get data from the web | 00:04:00 | ||
Loading flat files | 00:03:00 | ||
Loading Excel files | 00:05:00 | ||
Additional Materials | 00:00:00 | ||
Unit 21: 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 | ||
Unit 22: 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 component: 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 | ||
Additional Materials | 00:00:00 |
No Reviews found for this course.
Can’t find the anwser you’re looking for ? Reach out to customer support team.
There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.
You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience.
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks.
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.
If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.