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Data Science & Machine Learning with R from A-Z


Course Description The Data Science & Machine Learning with R from A-Z teaches the most effective technique to understand the subject …

1 day, 5 hours
1 year
Student Statistics

Course Description

The Data Science & Machine Learning with R from A-Z teaches the most effective technique to understand the subject thoroughly. This course is taught by top industry experts and academic professionals. Enrol our top online courses now for a super discounted price. Data Science & Machine Learning with R from A-Z is meticulously researched and prepared with the utmost care. All of the topics and subtopics are scientifically organised, taking into account the learner’s psychology and overall experience. All of the modules are bite-sized,  audiovisual, simple to comprehend and interactive. With a rich learning experience and pleasant customer service, Academy of Skills ensures quality and care. When you buy an online course from Academy of Skills, you get full access for 365 days and full tutor support and 24×7 customer service. Most of our skilled instructors guarantee that they will answer all of your questions and make your learning experience pleasant. Furthermore, you will receive an electronic certificate immediately after finishing the Data Science & Machine Learning with R from A-Z , which will assist you in obtaining work in the appropriate sector by enhancing your expertise and CV. You should select this Data Science & Machine Learning with R from A-Z from Academy of Skills if you want to learn about this topic while focusing on high-quality learning from professionals and experts. There are no hidden costs or examination fees. We are entirely transparent and honest about all of the course costs.

Why Study This Online Course?

This course will broaden your knowledge and add valuable skills to your resume. There are no set deadlines or instructional schedules so you can go at your own pace. You are free to study at your own speed, but to obtain the certificate; you must pass the assessment test or project. (Note: Some of our online courses do not have any MCQ examinations or assessments. We can add an assessment on request.) Our online learning platform can be accessed from any internet-connected device, such as a smartphone, tablet, or computer, which will be used to deliver the course. The best part is that because this course is video-based, you may pause it whenever you want to take your notes.

Why Study with the Academy of Skills?

  • Audio Visual Lesson Easy to follow Audio Visual lesson with lesson control at your fingertip
  • Learn anything Whether you want to develop your skills or learn a new activity, you have an online course.
  • Learn Anywhere You can learn a new skill from anywhere, including the convenience of your couch.
  • Access to Top Instructors Learn from alumni from prestigious universities and cultural institutions who will share their insights and knowledge.
  • Instant Certificate Upon successful completion of each course, you will receive an instant digital certificate.
  • Affordable Courses Best Prices With Regular Savings
  • Learn Anytime Learn new skills your own pace and on your own time; study anywhere and whenever you choose.

Will I Receive A Certificate of Completion for Data Science & Machine Learning with R from A-Z ?

Yes, after completion of this course, you will be able to request a certificate of completion from the Academy of Skills. You can order the certificate with our secure payment system. Use the link at the bottom of this page to order the Certificate. An exclusive discount is offered for pre-orders. You can request for PDF Certificate, PDF Transcript, Hardcopy Certificate and Hardcopy Transcript after successfully completing the course. We offer Free UK Shipping for all Hardcopy orders. Visit the Certificate order page ( to purchase/claim your certificate.


  • There is no formal entry requirement.
  • A desire to learn
  • A PC or mobile device

Course Currilcum

    • Data Science and Machine Learning Intro Section Overview 00:03:00
    • What is Data Science? 00:10:00
    • Machine Learning Overview 00:06:00
    • Who is This Course For? 00:03:00
    • Data Science + Machine Learning Marketplace 00:05:00
    • Data Science and Machine Learning Job Opportunities 00:03:00
    • Data Science Job Roles 00:05:00
    • Getting Started with R 00:11:00
    • R Basics 00:07:00
    • Working with Files 00:12:00
    • R Studio 00:07:00
    • Tidyverse Overview 00:06:00
    • Additional Resources 00:05:00
    • Data Types and Structures in R Section Overview 00:31:00
    • Basic Types 00:09:00
    • Vectors Part One 00:20:00
    • Vectors Part Two 00:25:00
    • Vectors – Missing Values 00:16:00
    • Vectors – Coercion 00:15:00
    • Vectors – Naming 00:11:00
    • Vectors – Misc 00:06:00
    • Creating Matrices 00:32:00
    • Working with Lists 00:32:00
    • Introduction to Data Frames 00:20:00
    • Creating Data Frames 00:20:00
    • Data Frames – Helper Functions 00:32:00
    • Data Frames – Tibbles 00:40:00
    • Intermedia R Section Introduction 00:47:00
    • Relational Operators 00:12:00
    • Logical Operators 00:08:00
    • Conditional Statements 00:12:00
    • Working with Loops 00:08:00
    • Working with Functions 00:15:00
    • Working with Packages 00:12:00
    • Working with Factors 00:29:00
    • Dates and Times 00:31:00
    • Functional Programming 00:37:00
    • Data Import/Export 00:23:00
    • Working with Databases 00:28:00
    • Data Manipulation Section Intro 00:37:00
    • Tidy Data 00:11:00
    • The Pipe Operator 00:15:00
    • The Filter Verb 00:22:00
    • The Select Verb 00:47:00
    • The Mutate Verb 00:32:00
    • The Arrange Verb 00:11:00
    • The Arrange Verb 00:11:00
    • Data Pivoting 00:43:00
    • String Manipulation 00:33:00
    • Web Scraping 00:59:00
    • JSON Parsing 00:11:00
    • Data Visualization in R Section Intro 00:18:00
    • Getting Started with Data Visualization in R 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
    • Introduction to R Markdown 00:29:00
    • Introduction to R Shiny 00:27:00
    • Creating A Basic R Shiny App 00:32:00
    • Other Examples with R Shiny 00:35:00
    • Introduction to Machine Learning Part One 00:22:00
    • Introduction to Machine Learning Part Two 00:47:00
    • Data Preprocessing Intro 00:28:00
    • Data Preprocessing 00:38:00
    • Linear Regression – A Simple Model Intro 00:26:00
    • A Simple Model 00:54:00
    • Exploratory Data Analysis Intro 00:26:00
    • Hands-on Exploratory Data Analysis 01:03:00
    • Linear Regression – Real Model Section Intro 00:33:00
    • Linear Regression in R – Real Model 00:53:00
    • Introduction to Logistic Regression 00:38:00
    • Logistic Regression in R 00:40:00
    • Starting a Data Science Career Section Overview 00:03:00
    • Creating A Data Science Resume 00:07:00
    • Getting Started with Freelancing 00:05:00
    • Top Freelance Websites 00:06:00
    • Personal Branding 00:06:00
    • Networking Do’s and Don’ts 00:04:00
    • Setting Up a Website 00:04:00
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