Overview
This comprehensive course on Data Science & Machine Learning with R will deepen your understanding on this topic.
After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with R comes with accredited certification, which will enhance your CV and make you worthy in the job market.
So enrol in this course today to fast track your career ladder.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is This course for?
There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with R. It is available to all students, of all academic backgrounds.
Requirements
Our Data Science & Machine Learning with R is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.
There is no time limit for completing this course, it can be studied in your own time at your own pace.
Career Path
Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc.
Course Curriculum
- 18 sections
- 84 lectures
- 1 day, 4 hours total length
-
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
-
Data Science Job Roles 00:04:00
-
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
-
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 Introduction 00:47:00
-
Relational Operations 00:11:00
-
Logical Operators 00:07:00
-
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 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 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 with R Markdown 00:29:00
-
Introduction to R Shiny 00:26:00
-
A Basic R Shiny App 00:31:00
-
Other Examples with R Shiny 00:34:00
-
Machine Learning Part 1 00:22:00
-
Machine Learning Part 2 00:47:00
-
Section Overview(Section 10: Data Preprocessing) 00:27:00
-
Data Preprocessing 00:38:00
-
Section Introduction(Section 11: Linear Regression: A Simple Model) 00:25:00
-
A Simple Model 00:53:00
-
Section Introduction(Section 12: Exploratory Data Analysis) 00:25:00
-
Hands-on Exploratory Data Analysis 01:03:00
-
Section Introduction (Section 13: Linear Regression: A Real Model) 00:32:00
-
Linear Regression in R 00:53:00
-
Logistic Regression Intro 00:38:00
-
Logistic Regression in R 00:40:00
-
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 – Data Science & Machine Learning with R
-
Assignment – Data Science & Machine Learning with R
-
Claim Your Certificate
Frequently Bought Together
4.8 course rating - 13 reviews
£19.99
£419
This course includes:
-
Duration:1 day, 4 hours
-
Access:1 year access
-
Units:84
-
Level:
-
CPD Points:10
-
Certificate:Yes
