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Data Science : R Programming

***Back to School Special - Free PDF & Hardcopy Certificate + 3 Free Personal Development Courses | Lifetime Access


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Summary

Price
£425 inc VAT
Or £70.83/mo. for 6 months...
Study method
Online
Duration
29 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Additional info
  • Tutor is available to students

Overview

This Data Science : R Programming Course is designed for professionals who want to thrive in their profession. The Data Science : R Programming course covers all the essential skills and knowledge needed to become specialized in this sector. You will learn real life knowledge and expertise from the industry experts and practitioners from this Data Science : R Programming course.

The Data Science : R Programming Course starts with the basic knowledge of Data Science : R Programming and gradually shares expertise knowledge. In this course you will get a complete idea of Data Science : R Programming with key concepts, strategies regarding use of it and in-depth knowledge. The Data Science : R Programming course is completely an online course. You can access this course from any part of the world with just a smart device and the internet.

By the end of this Data Science : R Programming course, you will get complete knowledge and marketable skills. The course also comes with a certificate, which will add extra value to your resume and help you stand out in the job market. In short, Data Science : R Programming Course is the perfect course to fast track your career. So, what are you waiting for? Enrol this course today!

What you will learn from Data Science : R Programming course?

  • Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
  • How to write complex R programs for practical industry scenarios
  • Learn data cleaning, processing, wrangling and manipulation
  • Learn Plotting in R (graphs, charts, plots, histograms etc)
  • How to create resume and land your first job as a Data Scientist
  • Step by step practical knowledge of R programming language
  • Learn Machine Learning and it's various practical applications
  • Building web apps and online, interactive dashboards with R Shiny
  • Learn Data and File Management in R
  • Use R to clean, analyze, and visualize data
  • Learn the Tidy verse
  • Learn Operators, Vectors, Lists and their application
  • Data visualization (ggplot2)
  • Data extraction and web scraping
  • Full-stack data science development
  • Building custom data solutions
  • Automating dynamic report generation
  • Data science for business

Why Choose Data Science : R Programming course?

  • Conducted by industry experts
  • Get Instant E-certificate
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified professionals
  • Self paced learning and laptop, tablet, smartphone friendly
  • Tutor Support

3 Additional Free Course To Develop Your Skill

  • Leadership & Management
  • Time Management
  • Communication Skill

And you will also get these gifts

  • Free PDF Certificate
  • Free Hard Copy Certificate
  • Lifetime Course Access

Certificates

Certificate of completion

Digital certificate - Included

Course media

Description

Course Curriculum

*** Data Science : R Programming ***

Data Science and Machine Learning Course Intro

  • Data Science & Machine Learning - Intro
  • Data Science & Machine Learning - What is Data Science?
  • Data Science & Machine Learning - Machine Learning Overview
  • Data Science + Machine Learning Marketplace
  • Data Science & Machine Learning - Data Science & Machine Learning - Who is This Course For?
  • Data Science & Machine Learning - Data Science and Machine Learning Job Opportunities

Getting Started with R

  • Data Science & Machine Learning - Getting Started with R
  • Data Science & Machine Learning - R Basics
  • Data Science & Machine Learning - Working with Files
  • Data Science & Machine Learning - R Studio
  • Data Science & Machine Learning - Tidyverse Overview
  • Data Science & Machine Learning - Additional Resources

Data Types and Structures in R

  • Data Science & Machine Learning - Data Types and Structures in R Section Overview
  • Data Science & Machine Learning - Basic Types
  • Data Science & Machine Learning - Vectors Part One
  • Data Science & Machine Learning - Vectors Part Two
  • Data Science & Machine Learning - Vectors: Missing Values
  • Data Science & Machine Learning - Vectors: Coercion
  • Data Science & Machine Learning - Vectors: Naming
  • Data Science & Machine Learning - Vectors: Misc.
  • Data Science & Machine Learning - Working with Matrices
  • Data Science & Machine Learning - Working with Lists
  • Data Science & Machine Learning - Introduction to Data Frames
  • Data Science & Machine Learning - Creating Data Frames
  • Data Science & Machine Learning - Data Frames: Helper Functions
  • Data Science & Machine Learning - Data Frames: Tibbles

Intermediate R

  • Data Science & Machine Learning - Intermedia R Section Introduction
  • Data Science & Machine Learning - Relational Operators
  • Data Science & Machine Learning - Logical Operators
  • Data Science & Machine Learning - Conditional Statements
  • Data Science & Machine Learning - Working with Loops
  • Data Science & Machine Learning - Working with Functions
  • Data Science & Machine Learning - Working with Packages
  • Data Science & Machine Learning - Working with Factors
  • Data Science & Machine Learning - Dates & Times
  • Data Science & Machine Learning - Functional Programming
  • Data Science & Machine Learning - Data Import/Export
  • Data Science & Machine Learning - Working with Databases

Data Manipulation in R

  • Data Science & Machine Learning - Data Manipulation Section Intro
  • Data Science & Machine Learning - Tidy Data
  • Data Science & Machine Learning - The Pipe Operator
  • Data Science & Machine Learning - {dplyr}: The Filter Verb
  • Data Science & Machine Learning - {dplyr}: The Select Verb
  • Data Science & Machine Learning - {dplyr}: The Mutate Verb
  • Data Science & Machine Learning - {dplyr}: The Arrange Verb
  • Data Science & Machine Learning - {dplyr}: The Summarize Verb
  • Data Science & Machine Learning - Data Pivoting: {tidyr}
  • Data Science & Machine Learning - String Manipulation: {stringr}
  • Data Science & Machine Learning - Web Scraping: {rvest}
  • Data Science & Machine Learning - JSON Parsing: {jsonlite}

Data Visualization in R

  • Data Science & Machine Learning - Data Visualization in R Section Intro
  • Data Science & Machine Learning - Getting Started with Data Visualization in R
  • Data Science & Machine Learning - Aesthetics Mappings
  • Data Science & Machine Learning - Single Variable Plots
  • Data Science & Machine Learning - Two Variable Plots
  • Data Science & Machine Learning - Facets, Layering, and Coordinate Systems
  • Data Science & Machine Learning - Styling and Saving

Creating Reports with R Markdown

  • Data Science & Machine Learning - Introduction to R Markdown

Building Webapps with R Shiny

  • Data Science & Machine Learning - Introduction to R Shiny
  • Data Science & Machine Learning - Creating A Basic R Shiny App
  • Data Science & Machine Learning - Other Examples with R Shiny

Introduction to Machine Learning

  • Data Science & Machine Learning - Introduction to Machine Learning Part One
  • Data Science & Machine Learning - Introduction to Machine Learning Part Two

Data Preprocessing

  • Data Science & Machine Learning - Data Preprocessing Intro
  • Data Science & Machine Learning - Data Preprocessing

Linear Regression: A Simple Model

  • Data Science & Machine Learning - Linear Regression: A Simple Model Intro
  • Data Science & Machine Learning - A Simple Model

Exploratory Data Analysis

  • Data Science & Machine Learning - Exploratory Data Analysis Intro
  • Data Science & Machine Learning - Hands-on Exploratory Data Analysis

Linear Regression - A Real Model

  • Data Science & Machine Learning - Linear Regression – Real Model Section Intro
  • Data Science & Machine Learning - Linear Regression in R – Real Model

Logistic Regression

  • Data Science & Machine Learning - Introduction to Logistic Regression
  • Data Science & Machine Learning - Logistic Regression in R

Starting A Career in Data Science

  • Data Science & Machine Learning - Starting a Data Science Career Section Overview
  • Data Science & Machine Learning - Creating A Data Science Resume
  • Data Science & Machine Learning - Getting Started with Freelancing
  • Data Science & Machine Learning - Top Freelance Websites
  • Data Science & Machine Learning - Personal Branding
  • Data Science & Machine Learning - Networking Do’s and Don’ts
  • Data Science & Machine Learning - Setting Up a Website

Certification

By the successful completion of Data Science & Machine Learning with R course, you will get an instant Accredited e-certificate. Our courses are fully Accredited with updated industry knowledge and skills that aim at making you an expert in the field. The hard copy of the certificate is also available and can be sent to your address. The delivery charge is applicable which will be £4.99.

Who is this course for?

Data Science : R Programming

  • Students who want to learn about Data Science and Machine Learning

Requirements

To complete Data Science : R Programming course, there is no prion experience required. You just need to have a computer and internet connection.

Career path

This Data Science : R Programming training course will lead you to many different career opportunities, here are few prospects:

  • Data Analyst. £26,000 per annum
  • Data Manager - £52,507 per annum
  • Data Scientist - £73,420 per annum

Questions and answers

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Reviews

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FAQs

Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2024. All rights reserved.