Booking options
£10.99
£10.99
On-Demand course
22 hours 7 minutes
All levels
In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R.
Learning Outcomes:
Understand the foundational concepts of data science and machine learning.
Familiarise oneself with the R environment and its functionalities.
Master data types, structures, and advanced techniques in R.
Acquire proficiency in data manipulation and visual representation using R.
Generate comprehensive reports using R Markdown and design web applications with R Shiny.
Gain a thorough understanding of machine learning methodologies and their applications.
Gain insights into initiating a successful career in the data science sector.
Unlimited access to the course for forever
Digital Certificate, Transcript, student ID all included in the price
Absolutely no hidden fees
Directly receive CPD accredited qualifications after course completion
Receive one to one assistance on every weekday from professionals
Immediately receive the PDF certificate after passing
Receive the original copies of your certificate and transcript on the next working day
Easily learn the skills and knowledge from the comfort of your home
After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.
This course is ideal for
Individuals keen on exploring the intricacies of machine learning and data science.
Aspiring data analysts and scientists looking to specialise in Machine Learning with R.
IT professionals aiming to diversify their skill set in the emerging data-driven market.
Researchers seeking to harness the power of R for data representation and analysis.
Academics and students aiming to bolster their understanding of modern data practices with R.
This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
Data Scientist - Average salary range: £35,000 - £70,000 Per Annum
Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum
Data Analyst - Average salary range: £28,000 - £55,000 Per Annum
R Developer - Average salary range: £30,000 - £60,000 Per Annum
R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum
Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum
Data Science and Machine Learning Course Intro | |||
Data Science and Machine Learning Introduction | 00:03:00 | ||
What is Data Science | 00:10:00 | ||
Machine Learning Overview | 00:05:00 | ||
Who is This Course for | 00:03:00 | ||
Data Science and Machine Learning Marketplace | 00:05:00 | ||
Data Science and Machine Learning Job Opportunities | 00:03:00 | ||
Getting Started with R | |||
Getting Started | 00:11:00 | ||
Basics | 00:06:00 | ||
Files | 00:11:00 | ||
RStudio | 00:07:00 | ||
Tidyverse | 00:05:00 | ||
Resources | 00:04:00 | ||
Data Types and Structures in R | |||
Unit Introduction | 00:30:00 | ||
Basic Type | 00:09:00 | ||
Vector Part One | 00:20:00 | ||
Vectors Part Two | 00:25:00 | ||
Vectors - Missing Values | 00:16:00 | ||
Vectors - Coercion | 00:14:00 | ||
Vectors - Naming | 00:10:00 | ||
Vectors - Misc | 00:06:00 | ||
Creating Matrics | 00:31:00 | ||
List | 00:32:00 | ||
Introduction to Data Frames | 00:19:00 | ||
Creating Data Frames | 00:20:00 | ||
Data Frames: Helper Functions | 00:31:00 | ||
Data Frames Tibbles | 00:39:00 | ||
Intermediate R | |||
Intermediate Introduction | 00:47:00 | ||
Relational Operations | 00:11:00 | ||
Conditional Statements | 00:11:00 | ||
Loops | 00:08:00 | ||
Functions | 00:14:00 | ||
Packages | 00:11:00 | ||
Factors | 00:28:00 | ||
Dates and Times | 00:30:00 | ||
Functional Programming | 00:37:00 | ||
Data Import or Export | 00:22:00 | ||
Database | 00:27:00 | ||
Data Manipulation in R | |||
Data Manipulation in R Introduction | 00:36:00 | ||
Tidy Data | 00:11:00 | ||
The Pipe Operator | 00:15:00 | ||
The Filter Verb | 00:22:00 | ||
The Select Verb | 00:46:00 | ||
The Mutate Verb | 00:32:00 | ||
The Arrange Verb | 00:10:00 | ||
The Summarize Verb | 00:23:00 | ||
Data Pivoting | 00:43:00 | ||
JSON Parsing | 00:11:00 | ||
String Manipulation | 00:33:00 | ||
Web Scraping | 00:59:00 | ||
Data Visualization in R | |||
Data Visualization in R Section Intro | 00:17:00 | ||
Getting Started | 00:16:00 | ||
Aesthetics Mappings | 00:25:00 | ||
Single Variable Plots | 00:37:00 | ||
Two Variable Plots | 00:21:00 | ||
Facets, Layering, and Coordinate Systems | 00:18:00 | ||
Styling and Saving | 00:12:00 | ||
Creating Reports with R Markdown | |||
Creating with R Markdown | 00:29:00 | ||
Building Webapps with R Shiny | |||
Introduction to R Shiny | 00:26:00 | ||
A Basic R Shiny App | 00:31:00 | ||
Other Examples with R Shiny | 00:34:00 | ||
Introduction to Machine Learning | |||
Machine Learning Part 1 | 00:22:00 | ||
Machine Learning Part 2 | 00:47:00 | ||
Starting A Career in Data Science | |||
Starting a Data Science Career Section Overview | 00:03:00 | ||
Data Science Resume | 00:04:00 | ||
Getting Started with Freelancing | 00:05:00 | ||
Top Freelance Websites | 00:05:00 | ||
Personal Branding | 00:05:00 | ||
Importance of Website and Blo | 00:04:00 | ||
Networking Do's and Don'ts | 00:04:00 | ||
Assignment | |||
Assignment - Data Science & Machine Learning with R | 00:00:00 |
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