Name: Data Science & Machine Learning with R
Price: 30.00 GBP
Rating: 4.6 (8 reviews)

Home
Course
Development
QLS Endorsed – Single Course
Data Science & Machine Learning with R

Unleash your potential in the Data Science & Machine Learning with R industry. Develop job-ready competencies for a high-demand career with this Data Science & Machine Learning with R Course.

The Data Science & Machine Learning with R career may be the road for you if you’ve always wanted a gratifying profession. Data Science & Machine Learning with R skills have become more essential than ever as the Data Science & Machine Learning with R industry continues to create revolutionary services and products. If you’re a problem-solver who enjoys winning, Data Science & Machine Learning with R career will be both rewarding and profitable.

Even if you’re seeking to change careers, Data Science & Machine Learning with R will be a rewarding career choice. Expertise in Data Science & Machine Learning with R also means flourishing in a rising, competitive, and data-driven work environment.

Imperial Academy offers you the benefit of —

Data Science & Machine Learning with R course assists you in becoming job-ready, whether you’re trying to start a new career or improve your existing one. You can learn at your own schedule, whenever and wherever suits you best. You will discover all the expertise you’ll need to thrive in an ever-changing Data Science & Machine Learning with R sector with this online Data Science & Machine Learning with R course.

The Quality Licence Scheme has endorsed this course for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Imperial Academy will be able to advise you on any further recognition, for example, progression routes into further and/or higher education.

Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.

Upon successful completion of the Data Science & Machine Learning with R course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of —

After successfully completing the assessment of this Data Science & Machine Learning with R course, you will also qualify for the CPD Certificate from Imperial Academy, as proof of your continued development. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post, at the cost of £15. International students will have to pay an extra £10 as postal fees.

The Data Science & Machine Learning with R course has been endorsed under the Quality Licence Scheme. This means that One Education has undergone an external quality check to ensure that the organisation and the courses it offers meet defined quality criteria. The completion of this Data Science & Machine Learning with R course alone does not lead to a regulated qualification but may be used as evidence of knowledge and skills gained. The Learner Unit Summary may be used as evidence towards Recognition of Prior Learning if you wish to progress your studies in this subject. To this end the learning outcomes of the Data Science & Machine Learning with R course have been benchmarked at Level 3 against level descriptors published by Ofqual, to indicate the depth of study and level of demand/complexity involved in successful completion by the learner.

The Data Science & Machine Learning with R course itself has been designed by One Education to meet specific learners’ and/or employers’ requirements which cannot be satisfied through current regulated qualifications.

The Quality Licence Scheme endorsement involves robust and rigorous quality audits by external auditors to ensure quality is continually met. A review of courses is carried out as part of the endorsement process.

No formal entry requirements! No prerequisites or relevant experience is required!

This course is accessible to anyone with an eagerness to learn. All you require is —

You will gain a well-rounded grasp of all core aspects of the Data Science & Machine Learning with R sector during this Data Science & Machine Learning with R course, which will help you prepare for your dream Data Science & Machine Learning with R role. Develop a good balance of conceptual expertise, as well as Data Science & Machine Learning with R skills that are in great demand by employers.

Course Curriculum

Section 1: Introduction to Data Science +ML with R from A-Z
	Intro To DS+ML Section Overview	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 + Machine Learning Marketplace	00:05:00
	DS + ML Job Opportunities	00:03:00
	Data Science Job Roles	00:03:00
Section 2: 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
Section 3: Data Types and Structures in R
	Section Introduction	00:30:00
	Basic Type	00:09:00
	Vectors 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
	Matrices	00:31:00
	Lists	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
Section 4: Intermediate R
	Section Introduction	00:47:00
	Relational Operations	00:11:00
	Logical Operators	00:07:00
	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
Section 5: 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
	String Manipulation	00:33:00
	Web Scraping	00:59:00
	JSON Parsing	00:11:00
Section 6: 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
Section 7: Creating Reports with R Markdown
	Creating with R Markdown	00:29:00
Section 8: 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
Section 9: Introduction to Machine Learning
Introduction to Machine Learning
	Machine Learning Part 1	00:22:00
	Machine Learning Part 2	00:47:00
Section 10: Data Preprocessing
	Data Preprocessing Overview	00:27:00
	Data Preprocessing	00:38:00
Section 11: Linear Regression: A Simple Model
	Section Introduction	00:25:00
	A Simple Model	00:53:00
Section 12: Exploratory Data Analysis
	Section Introduction	00:25:00
	Hands-on Exploratory Data Analysis	01:03:00
Section 13: Linear Regression: A Real Model
	Section Introduction	00:32:00
	Linear Regression in R	00:53:00
Section 14: Logistic Regression
	Logistic Regression Intro	00:38:00
	Logistic Regression in R	00:40:00
Section 15: Starting a Career in Data Science
	Starting a Data Science Career Section Overview	00:03:00
	Creating A 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
Resources
	Resources – Data Science & Machine Learning with R	00:00:00
Assignment
	Assignment – Data Science & Machine Learning with R	3 weeks, 4 days
Order Your Certificate
	Order Your Certificate	00:00:00