Data Science & Machine Learning with R

Data Science & Machine Learning with R Overview The Data Science & Machine Learning with R course provide you with essential skills …

Data Science & Machine Learning with R

Data Science & Machine Learning with R

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Data Science & Machine Learning with R Overview

The Data Science & Machine Learning with R course provide you with essential skills and knowledge for data science. This programme covers the fundamentals of data science and machine learning, focusing on R programming. Through hands-on exercises and real-world projects, you will learn to manipulate data, create visualisations, and build machine learning models. By the end of the course, you will be ready to tackle complex data challenges and pursue a successful career in data science.

Learning Outcomes 

  • Understand the fundamentals of data science and its applications.
  • Gain proficiency in the R programming language for data analysis.
  • Master data types and structures in R.
  • Perform data manipulation and cleaning in R.
  • Create compelling data visualisations using R.
  • Generate dynamic reports with R Markdown.
  • Develop interactive web applications with R Shiny.
  • Build and evaluate machine learning models.
  • Apply machine learning algorithms to solve real-world problems.
  • Prepare for a career in data science with practical skills and knowledge.

Who Is This Course For

This course is designed for individuals who are passionate about data and aspire to develop a career in data science and machine learning. It is suitable for beginners with no prior experience in data science, as well as professionals looking to enhance their skills in R programming and machine learning. Whether you are a recent graduate, a data analyst, or an IT professional, this course will provide you with the tools and knowledge to excel in the field of data science.

Eligibility Requirements

You should have basic knowledge of data science concepts and computer programming. Understanding statistics and mathematics will help you grasp the machine learning algorithms and techniques covered in the course.

Entry Requirements

  • Age Requirement: Applicants must be aged 16 or above, allowing both young learners and adults to engage in this educational pursuit.
  • Academic Background: There are no specific educational prerequisites, opening the door to individuals from diverse academic histories.
  • Language Proficiency: A good command of the English language is essential for comprehension and engagement with the course materials.
  • Numeracy Skills: Basic numeracy skills are required to effectively understand and work with course-related information. 

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 recognised accredited
  • 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

Graduates of the Data Science & Machine Learning with R course can pursue various exciting career paths in data science. You can work as a data scientist, machine learning engineer, data analyst, business intelligence analyst, or data engineer. These roles are in high demand across industries such as finance, healthcare, and technology. This course prepares you to tackle challenging projects, make data-driven decisions, and contribute to your organisation’s success.Basic numeracy skills are required to effectively understand and work with course-related information. 

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
Data Types and Structures in R
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
Top Freelance Websites 00:05:00
Personal Branding 00:05:00
Importance of Website and Blog 00:04:00
Networking Do’s and Don’ts 00:04:00
Order Certificate
Order Certificate 00:00:00

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    NEW YEAR SALE – ALL COURSES FOR Original price was: $652.69.Current price is: $64.09. / year

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