Course Description
The Data Science & Machine Learning with R from A-ZÂ 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-ZÂ , 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-ZÂ 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
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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-ZÂ ?
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 (https://academyofskills.org/certificate-transcript/) to purchase/claim your certificate.
Requirement
- There is no formal entry requirement.
- A desire to learn
- A PC or mobile device
Course Curriculum
DATA SCIENCE AND MACHINE LEARNING COURSE INTRO | |||
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 | |||
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 | |||
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 | ||
INTERMEDIATE R | |||
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 IN R | |||
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 | |||
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 | ||
CREATING REPORTS WITH R MARKDOWN | |||
Introduction to R Markdown | 00:29:00 | ||
BUILDING WEBAPPS WITH R SHINY | |||
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 | |||
Introduction to Machine Learning Part One | 00:22:00 | ||
Introduction to Machine Learning Part Two | 00:47:00 | ||
DATA PREPROCESSING | |||
Data Preprocessing Intro | 00:28:00 | ||
Data Preprocessing | 00:38:00 | ||
LINEAR REGRESSION: A SIMPLE MODEL | |||
Linear Regression – A Simple Model Intro | 00:26:00 | ||
A Simple Model | 00:54:00 | ||
EXPLORATORY DATA ANALYSIS | |||
Exploratory Data Analysis Intro | 00:26:00 | ||
Hands-on Exploratory Data Analysis | 01:03:00 | ||
LINEAR REGRESSION - A REAL MODEL | |||
Linear Regression – Real Model Section Intro | 00:33:00 | ||
Linear Regression in R – Real Model | 00:53:00 | ||
LOGISTIC REGRESSION | |||
Introduction to Logistic Regression | 00:38:00 | ||
Logistic Regression in R | 00:40:00 | ||
STARTING A CAREER IN DATA SCIENCE | |||
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 |
Good course with resources
Recommend it