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Learning R Programming for Data Science
By Study Plex
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Highlights
On-Demand course
All levels
Description
Recognised Accreditation
This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement.
The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.
What is CPD?
Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements.
Benefits of CPD
Improve your employment prospects
Boost your job satisfaction
Promotes career advancement
Enhances your CV
Provides you with a competitive edge in the job market
Demonstrate your dedication
Showcases your professional capabilities
What is IPHM?
The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill.
Benefits of IPHM
It will help you establish a positive reputation in your chosen field
You can join a network and community of successful therapists that are dedicated to providing excellent care to their client
You can flaunt this accreditation in your CV
It is a worldwide recognised accreditation
What is Quality Licence Scheme?
This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries.
Benefits of Quality License Scheme
Certificate is valuable
Provides a competitive edge in your career
It will make your CV stand out
Course Curriculum
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 |
About The Provider
Study Plex
Birmingham
Study Plex is a company focused on providing a range of learning and development opportunities, to entertain and educate our learner base through the use of modern learning technology.
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