Data Science and Machine Learning with R from A-Z Course [Updated for 2021] [Video]
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This book & 7000+ ebooks & video courses on 1000+ technologies
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Mobile App with offline access
What do you get with a Packt Subscription?
This book & 6500+ ebooks & video courses on 1000+ technologies
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Mobile App with offline access
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50+ new titles added every month on new and emerging tech
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Free ChapterData Science and Machine Leaning Course Introduction
-
Getting Started with R
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Data Types and Structures in R
- Data Types and Structures in R Section Overview
- Basic Types
- Vectors - Part One
- Vectors - Part Two
- Vectors: Missing Values
- Vectors: Coercion
- Vectors: Naming
- Vectors: Miscellaneous
- Working with Matrices
- Working with Lists
- Introduction to Data Frames
- Creating Data Frames
- Data Frames: Helper Functions
- Data Frames: Tibbles
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Intermediate R
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Data Manipulation in R
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Data Visualization in R
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Creating Reports with R Markdown
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Building Webapps with R Shiny
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Introduction to Machine Learning
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Data Preprocessing
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Linear Regression: A Simple Model
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Exploratory Data Analysis
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Linear Regression - a Real Model
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Logistic Regression
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Starting a Career in Data Science
About this
video
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.
All resources are placed here: https://github.com/PacktPublishing/Data-Science-and-Machine-Learning-with-R-from-A-Z-Course-Updated-for-2021-
- Publication date:
- April 2021
- Publisher
- Packt
- Duration
- 28 hours 50 minutes
- ISBN
- 9781801075282