Data Science with R
About Course
Data Science with R - Everything you need to know about Data Science and Machine Learning
This course will teach you how to program in R, how to analyse and visualize data, and how to use that data effectively. The course will cover the installation and configuration of software required for a statistical programming environment, as well as the implementation of programming language concepts in a high-level statistical language.
In this course, you will learn not only how to program in R, but also how to become a professional Data Scientist working with R.
The course covers practical aspects of statistical computing, including programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organising and commenting R code. With a combination of practical work and solid theoretical training, we take you through the basics of R Programming to mastery.
This course is suitable for anyone who has some coding experience or would like to learn more about the advanced features of the R programming language.
Enrol now to explore the world of R Programming Language!
After Completing The Course, You Will:
- Know the different processes of Data Science, such as data cleaning, processing, wrangling, manipulation
- Learn how to become a data scientist, data engineer, data analyst or consultant
- Discover the usage of R to clean, analyse, and visualise data
- How to write complex R programs for real-life industry situations
- Get data scientist resume tips and land your first job
- Explore the various applications of Machine Learning
- Understand Tidyverse, Operators, Vectors, Lists and their applications
- Uncover data extraction and scraping
- Dedicated Student Support
- Absolute Mobile compatibility
- Best Learning Experience on World’s Best LMS
- Flexible Study Opportunities
- Certification upon Course Completion
Course Design
You can take this [su_post post_type=”course”] Online Course at your own pace because it is designed to be flexible. There are multiple modules in the course, so that you can complete it according to your schedule. To make it easier for you to grasp the ideas, the topics are arranged in an orderly fashion. You will be assessed to ensure that you understand the material. You can access our courses on any smart device or through the web.
Assessment
The [su_post post_type=”course”] Course features an online multiple-choice assessment test at the end of the course to assess learners’ ability and knowledge to understand the topics. This online multiple-choice test will result in an immediate grade, so you’ll know if you passed right away.
Certification & Transcript
After completing the course, you will be able to obtain* a Certificate of Completion from SkillArts. This certificate will serve as proof that you have successfully completed the course. You will also be able to apply for an Academic Transcript that will outline the lessons covered in this [su_post post_type=”course”] Course.
If you obtain a certificate from us, you can include it in your portfolio of evidence and use it for interviews in an employment or academic environment. By scanning the QR code on the certificate and entering the certificate code on our website, your employer can verify the certificate.
*Prices apply
Example Certificate & Transcript


Career Opportunities
By providing you with all the necessary guidelines, knowledge, and an online certificate of completion, this [su_post post_type=”course”] Course will ease your way up the career ladder. You’ll learn how to succeed in your dream job, get that promotion, or start up the business you’ve always dreamed of.
Course Content
Promo
Data science & Machine Learning-Promo
Introduction to Data Science +ML with R from A-Z
Data Science ML Course Intro
What is data science – Data Science
Machine Learning Overview
Whos this course is for – Data Science
DL and ML Marketplace
Data Science and ML Job opps
Data Science Job Roles – Data Science
Getting Started – Data Science
Getting Started with R
Basics
Files
RStudio
Tidyverse
Resources
Section Introduction
Basic Types
Data Types and Structures in R
Vectors Part One
Vectors Part Two
Vectors – Missing Values
Vectors – Coercion
Vectors – Naming
Vectors – Misc
Creating Matrices
Lists
Introduction to Data Frames
Creating Data Frames
Data Frames_Helper Functions
Data Frames – Tibbles
Section Introduction Intermediate
Relational Operations
Logical Operators – Data Science
Intermediate R
Conditional Statements – Data Science
Loops
Functions – Data Science
Packages
Factors
Dates and Times
Functional Programming
Data Import or Export
Database
Data Manipulation in R Section Introduction
Tidy Data
The Pipe Operator
The Filter Verb
Data Manipulation in R
The Select Verb
The Mutate Verb
The Arrange Verb
The Summarize Verb
Data Pivoting
JSON Parsing
String Manipulation
Web Scraping
Data Visualization in R Section Introduction
Getting Started 2 – Data Science
Aesthetics Mappings
Single Variables Plot
Two Variable Plots
Data Visualization in R
Facets Layering and Coordinate System
Styling and Saving
Creating-Reports-with-R-Markdown
Section-Introduction-With-R-Shiny
A Basic App
Other Examples
Intro to Machine Learning – Part 1
Intro to Machine Learning – Part 2
Creating Reports with R Markdown
Introduction to Data Pre processing
Data Pre processing
Building Webapps with R Shiny
LR Section Introduction
Linear Regression A Simple Model
Section Introduction EDA
Hands-on Exploratory Data Analysis
Introduction to Machine Learning
Linear Regression – Real Model Section Intro
Linear Regression in R – real model
Introduction to Logistic Regression
Data Preprocessing
Logistic Regression in R
Starting a Career in Data Science
Data Science Resume
Linear Regression: A Simple Model
Getting Started with Freelancing – Data Science
Top Freelancing Websites
Personal Branding – Data Science
Exploratory Data Analysis
Importance of Website and Blog
Networking dos and donts – Data Science
Comprehensive Guide to Data Visualization R-11
Final Quiz- Data Science with R
Order Certificate
Order Your Certificate
