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 Jul, 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
- 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
- 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
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