Data Science and Machine Learning with R from A-Z Course [Updated for 2021]
Learn machine learning and data analysis from scratch with R
Updated on Apr, 2024
Language - English
Development,Data Science,Machine Learning
Lectures -81
Duration -28.5 hours
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Course Description
The course covers practical issues in statistical computing that include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R programming to mastery.
We understand that theory is important to build a solid foundation, we also understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!
R coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Adding R coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.
By the end of the course, you’ll be a professional data scientist with R and confidently apply for jobs and will feel good knowing that you have the skills and knowledge to back it up.
Goals
What will you learn in this course:
- Learn data cleaning, processing, wrangling, and manipulation
- Learn plotting in R (graphs, charts, plots, histograms, and more)
- How to create a resume and land your first job as a data scientist
- Learn machine learning and its various practical applications
- Learn data and file management in R
- Use R to clean, analyze, and visualize data
Prerequisites
What are the prerequisites for this course?
- No prior knowledge of R is required.
![Data Science and Machine Learning with R from A-Z Course [Updated for 2021]](https://d3mxt5v3yxgcsr.cloudfront.net/courses/7348/course_7348_image.jpeg "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]")
Curriculum
Check out the detailed breakdown of what’s inside the course
Data Science and Machine Leaning Course Introduction
7 Lectures
-
Data Science and Machine Learning Introduction Section Overview
02:30
02:30
-
What is Data Science?
09:47
09:47
-
Machine Learning Overview
05:26
05:26
-
Data Science + Machine Learning Marketplace
04:38
04:38
-
Who is this Course For?
02:57
02:57
-
Data Science and Machine Learning Job Opportunities
02:37
02:37
-
Data Science Job Roles
04:04
04:04
Getting Started with R
6 Lectures
Data Types and Structures in R
14 Lectures
Intermediate R
12 Lectures
Data Manipulation in R
12 Lectures
Data Visualization in R
7 Lectures
Creating Reports with R Markdown
1 Lectures
Building Webapps with R Shiny
3 Lectures
Introduction to Machine Learning
2 Lectures
Data Preprocessing
2 Lectures
Linear Regression: A Simple Model
2 Lectures
Exploratory Data Analysis
2 Lectures
Linear Regression - a Real Model
2 Lectures
Logistic Regression
2 Lectures
Starting a Career in Data Science
7 Lectures
Instructor Details
Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.
Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.
As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
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