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Data Science & Machine Learning with R
Data Science & Machine Learning with R
£29 ex Vat
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Level 7
29 Students -
3 weeks, 4 days
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Learning Outcome
- Expand your knowledge of data science and machine learning
- Gain an in-depth understanding of the R programming language
- Know about the data types and structures in R
- Learn how to use R to handle, store and analyse data
- Find a comprehensive guide to data manipulation and visualisation in R
- Learn how to create reports with R markdown
- Understand how to build interactive Web Apps using R shiny
- Discover career options in machine learning and data science
Description
This course is suitable for any aspiring individual who wants to start their professional career as a data science engineer, data science manager, data scientist, VP of data science, data science consultant or any data science-related field.
In this comprehensive Data Science & Machine Learning with R course, you will deepen your understanding of data manipulation in R, key techniques to create reports with R markdown, data processing, data visualization in R and much more. This comprehensive Data Science & Machine Learning with R basic understanding of data science and gradually cover advanced data science knowledge. Designed by industry experts and professionals, this course is perfect for learners who want to grow their career in the data science field.
Course Design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
Certificate of Achievement
Endorsed Certificate of Achievement from the Quality Licence Scheme
After successfully completing the course, learners will be able to order an endorsed certificate as proof of their new achievement. Endorsed certificates can be ordered and get delivered to your home by post for only £129. There is an additional £10 postage charge for international students.
CPD Certification from One Education
After successfully completing the MCQ assessment of this course, you will qualify for the CPD Certificate from One Education, as proof of your continued professional 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.
Endorsement
This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example, progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.
Method of Assessment
To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD accredited certificates.
After submitting the assignment, our expert tutor will assess your assignment and will give you feedback on your performance.
After passing the assignment exam, you will be able to apply for a certificate.
Why study this course
Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and certificates attesting to your knowledge.
The Data Science & Machine Learning with R Course is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.
Course Curriculum
| 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 | ||
| 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 QLS | 00:00:00 | ||
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