Data Science & Machine Learning with R from A-Z Course course is the perfect course for the professionals. Learn key concepts, strategies regarding use of Data Science & Machine Learning with R from A-Z Course skills and boost your career with a marketable skill. Learn from the experts and become an expert.

Course Access

Unlimited Duration

Last Updated

August 26, 2021

Students Enrolled


Course Duration

1 day, 5 hours

Course Instructor
This Data Science & Machine Learning with R from A-Z course is designed for professionals who want to thrive in their profession. The Data Science & Machine Learning with R from A-Z Course course covers all the essential skills and knowledge needed to become specialised in this sector. You will learn real life knowledge and expertise from the industry experts and practitioners from this Data Science & Machine Learning with R from A-Z course course.
The Data Science & Machine Learning with R from A-Z course Course starts with the basic knowledge of Data Science & Machine Learning with R from A-Z course and gradually shares expertise knowledge. In this course you will get a complete idea of Data Science & Machine Learning with R from A-Z course with key concepts, strategies regarding use of it and in-depth knowledge. The Data Science & Machine Learning with R from A-Z Course course is completely an online course. You can access this course from any part of the world with just a smart device and the internet.
By the end of this course, you will get complete knowledge and marketable skills. The course also comes with an accredited certificate, which will add extra value to your resume and help you stand out in the job market. In short, Data Science & Machine Learning with R from A-Z Course Course is the perfect course to fast track your career. So what are you waiting for? Enrol today!

What you will learn

  • Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
  • Learn data cleaning, processing, wrangling and manipulation
  • How to create resume and land your first job as a Data Scientist
  • Learn Machine Learning and it's various practical applications
  • Learn Data and File Management in R
  • Learn the Tidyverse
  • Data visualization (ggplot2)
  • Full-stack data science development
  • Automating dynamic report generation
  • How to write complex R programs for practical industry scenarios
  • Learn Plotting in R (graphs, charts, plots, histograms etc)
  • Step by step practical knowledge of R programming language
  • Building web apps and online, interactive dashboards with R Shiny
  • Use R to clean, analyze, and visualize data
  • Learn Operators, Vectors, Lists and their application
  • Data extraction and web scraping
  • Building custom data solutions
  • Data science for business

Course Media

Who is this course for?

This course is ideal for those who work in or aspire to work in the following professions:
  • Students who want to learn about Data Science and Machine Learning

Why Choose Data Science & Machine Learning with R from A-Z  course?

  • Accredited by CPD
  • Conducted by industry experts
  • Get Instant E-certificate
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified professionals
  • Self paced learning and laptop, tablet, smartphone friendly
  • Tutor Support


By the successful completion of your course, you will get an instant accredited e-certificate. Our courses are fully accredited with updated industry knowledge and skills that aim at making you an expert in the field. The hard copy of the certificate is also available and can be sent to your address. The delivery charge is applicable with a shipping cost of £4.99. All the certificates have no expiry dates but to stay updated and valued certificates are recommended to be renewed every year.

Career Path

This training course will lead you to many different career opportunities, here are few prospects:
  • Data Analyst. £26,000 per annum
  • Data Manager - £52,507 per annum
  • Data Scientist - £73,420 per annum


Profile Photo
Juan E. Galvan
4.86 4.8625


Digital Entrepreneur | Marketer | Visionary

Accredited by

Course Curriculum

    • Data Science and Machine Learning Intro Section Overview 00:03:00
    • What is Data Science? 00:10:00
    • Machine Learning Overview 00:06:00
    • Data Science + Machine Learning Marketplace 00:05:00
    • Who is This Course For? 00:03:00
    • Data Science and Machine Learning Job Opportunities 00:03:00
    • 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
    • Working with 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 & 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
    • {dplyr}: The Filter Verb 00:22:00
    • {dplyr}: The Select Verb 00:47:00
    • {dplyr}: The Mutate Verb 00:32:00
    • {dplyr}: The Arrange Verb 00:11:00
    • {dplyr}: The Summarize Verb 00:24:00
    • Data Pivoting: {tidyr} 00:43:00
    • String Manipulation: {stringr} 00:33:00
    • Web Scraping: {rvest} 00:59:00
    • JSON Parsing: {jsonlite} 00:11:00
    • Data Visualization in R Section Intro 00:25:00
    • 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 00:54:00
    • 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 00:04:00
    • 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
    • Get Your Certificate & Transcript 00:00:00

Course Reviews

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