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Data Science & Machine Learning With R in 2021

Data Science & Machine Learning With R in 2021

By John Academy

4.3(43)
  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • On-Demand course

  • 22 hours 12 minutes

  • All levels

Description

Course Overview

Peek into the world of data science and machine learning with the comprehensive Data Science & Machine Learning With R in 2021 course. This course will provide you with a detailed understanding of both machine learning and data science. In addition, you will acquire essential skills to pursue a career in this growing industry.

The Data Science & Machine Learning With R in 2021 course will teach you the core concept of data science. You will be able to recognize different data types and structures. From the modules, you will receive an introduction to the intermediate R Section. The course will show you the techniques of data manipulation in R. You will know the process of data visualization with R and learn to create reports with R markdown. The Data Science & Machine Learning With R in 2021 course will provide you with an insight into the fundamentals of machine learning. You will understand the principles of data processing, linear regression, logistic regression and more. 

This highly informative Data Science & Machine Learning With R in 2021 course will equip you with the essential skills of data science. If you desire to become a professional data scientist, this course can be your stepping stone. So, enroll in the course and fast track your career.

Learning Outcomes
  • Learn the definition of data science

  • Understand the basics of machine learning

  • Enrich your knowledge of data types and structures

  • Know the process of data manipulation in R

  • Gain the ability to create reports with R markdown

  • Become skilled in building web apps with R shiny

Who is this course for?

Aspiring data scientists or individuals interested in learning data science and machine learning 

Entry Requirement
  • This course is available to all learners, of all academic backgrounds.

  • Learners should be aged 16 or over to undertake the qualification.

  • Good understanding of English language, numeracy and ICT are required to attend this course.

Certification
  • After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24.

  • PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days.

Why choose us?
  • Affordable, engaging & high-quality e-learning study materials;

  • Tutorial videos/materials from the industry-leading experts;

  • Study in a user-friendly, advanced online learning platform;

  • Efficient exam systems for the assessment and instant result;

  • The UK & internationally recognized accredited qualification;

  • Access to course content on mobile, tablet or desktop from anywhere anytime;

  • The benefit of career advancement opportunities;

  • 24/7 student support via email.

Career Path

 The Data Science & Machine Learning With R in 2021 course is a useful qualification to possess and would be beneficial for any related profession or industry such as:

  • Data Scientist

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

Data Types and Structures in R

Getting Started

00:16:00

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

Database1

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

Certificate and Transcript

Order Your Certificates and Transcripts

00:00:00

About The Provider

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