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Overview

By enroling in Data Science & Machine Learning with R, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.

The Data Science & Machine Learning with R course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Data Science & Machine Learning with R course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Data Science & Machine Learning with R Program.

So enrol in our Data Science & Machine Learning with R course right away if you’re keen to envision yourself in a rewarding career.

Description

Enroling in this Data Science & Machine Learning with R course can improve your Data Science & Machine Learning with R perspective, regardless of your skill levels in the Data Science & Machine Learning with R topics you want to master. If you’re already a Data Science & Machine Learning with R expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Data Science & Machine Learning with R insights that will help you make the most of your time. This Data Science & Machine Learning with R course will act as a guide for you if you’ve ever wished to excel at Data Science & Machine Learning with R.

Why Choose Us?​​

Certificate of Achievement

Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.

Who Is This Course For?​

This Data Science & Machine Learning with R course is a great place to start if you’re looking to start a new career in Data Science & Machine Learning with R field. This training is for anyone interested in gaining in-demand Data Science & Machine Learning with R proficiency to help launch a career or their business aptitude. 

Requirements​

The Data Science & Machine Learning with R course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Data Science & Machine Learning with R, without any fuss.

Career Path​

This Data Science & Machine Learning with R training will assist you develop your Data Science & Machine Learning with R ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Data Science & Machine Learning with R professional story and personalise your path to a new career. Furthermore, developing this Data Science & Machine Learning with R skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.

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Course Curriculum

Data Science and Machine Learning Course Intro
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
Getting Started with R
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
Data Types and Structures in R
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 R
Intermediate Introduction 00:47:00
Relational Operations 00:11:00
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
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
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 Reports with R Markdown
Creating with R Markdown 00:29:00
Building Webapps with R Shiny
Introduction to R Shiny 00:26:00
A Basic R Shiny App 00:31:00
Other Examples with R Shiny 00:34:00
Introduction to Machine Learning
Machine Learning Part 1 00:22:00
Machine Learning Part 2 00:47:00
Starting A Career in Data Science
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
Resources – Data Science & Machine Learning with R 00:00:00
Assignment
Assignment – Data Science & Machine Learning with R 00:00:00
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Order Your Certificate 00:00:00

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