Overview
The [course_title] is the best way for you to gain deep insight and knowledge of this topic. You will learn from industry experts and obtain an accredited certificate after completing the course. Enrol now for a limited-time discounted price.
Like all the courses of Study Booth, this [course_title] is designed with the utmost attention and thorough research. All the topics are broken down into easy to understand bite-sized modules that help our learners to understand each lesson very easily.
We don’t just provide courses at Study Booth; we provide a rich learning experience. After purchasing a course from Study Booth, you get complete 1-year access with tutor support.
Our expert instructors are always available to answer all your questions and make your learning experience exquisite.
After completing the [course_title], you will instantly get an e-certificate that will help you get jobs in the relevant field and will enrich your CV.
If you want to learn about this topic and achieve certifications, you should consider this [course_title] from Study Booth.
There are no hidden fees or exam charges. We are very upfront and clear about all the costs of the course.
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
Will I receive a certificate of completion?
Upon successful completion, you will qualify for the UK and internationally-recognised certification and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hard Copy Certificate for £15.
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 an accredited qualification attesting to your knowledge.
The [course_title] 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 & Machine Learning with R from A-Z Course | |||
| Data Science and Machine Learning Job Opportunities | 00:03:00 | ||
| 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 | ||
| Resources | 00:04:00 | ||
| Getting Started | 00:11:00 | ||
| Basics | 00:06:00 | ||
| Files | 00:11:00 | ||
| RStudio | 00:07:00 | ||
| Tidyverse | 00:05:00 | ||
| 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 | ||
| Introduction to Data Frames | 00:19:00 | ||
| Creating Data Frames | 00:20:00 | ||
| Data Frames: Helper Functions | 00:31:00 | ||
| Unit Introduction | 00:30:00 | ||
| Basic Type | 00:09:00 | ||
| Vector Part One | 00:20:00 | ||
| Database | 00:27:00 | ||
| Data Import or Export | 00:22:00 | ||
| Two Variable Plots | 00:21:00 | ||
| Facets, Layering, and Coordinate Systems | 00:18:00 | ||
| Styling and Saving | 00:12:00 | ||
| Data Visualization in R Section Intro | 00:17:00 | ||
| Getting Started | 00:16:00 | ||
| Aesthetics Mappings | 00:25:00 | ||
| Creating with R Markdown | 00:29:00 | ||
| Other Examples with R Shiny | 00:34:00 | ||
| Introduction to R Shiny | 00:26:00 | ||
| A Basic R Shiny App | 00:31:00 | ||
| Machine Learning Part 2 | 00:47:00 | ||
| Machine Learning Part 1 | 00:22:00 | ||
| Starting a Data Science Career Section Overview | 00:03:00 | ||
| Networking Do’s and Don’ts | 00:04:00 | ||
| 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 | ||
| DSand ML Course Sales Video | 00:04:00 | ||
| 17DATA~1 | 00:04:00 | ||
| Data Frames: Tibbles | 00:39:00 | ||
| List | 00:32:00 | ||
| 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 | ||
| Intermediate Introduction | 00:47:00 | ||
| Relational Operations | 00:11:00 | ||
| Logical Operators | 00:07:00 | ||
| Conditional Statements | 00:11:00 | ||
| 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 | ||
| 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 | ||
| Single Variable Plots | 00:37:00 | ||
| Data Manipulation Section Intro | 00:36:00 | ||
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Offer Ends in
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Access01 Year
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LevelLevel 3
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Students2
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Duration22 hours, 22 minutes