“Learn Data Science & Machine Learning with R from AZ” welcomes the students to the R from A to Z course on Learning Data Science and Machine Learning. Students will learn how to program in R and how to utilize R for efficient data analysis, visualization, and practical data use in this handson, practical course. Students will learn how to set up the software required for a statistical programming environment, as well as how to define how highlevel statistical languages apply common programming language principles. Students will learn how to program in R, load data into R, access R packages, writing R functions, debug R code, profile R code, organize R code, and comment on R code.
This course is for you whether you’ve never programmed before or want to learn more about the advanced features of the R programming language. In job listings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and many other positions, R coding experience is either necessary or encouraged. Together, you will be provided with the fundamental education you need to understand how to write R code, analyze data, and visualize it, as well as how to get paid for your newly acquired programming talents. The training covers six key topics: 1: ML Course + R Intro + DS The R programming language. Currently, udemy is offering the Learn Data Science & Machine Learning with R from AZ for up to 87 % off i.e. INR 449 (INR 3,499).
Who Can Opt for This Course?
 Students interested in learning about machine learning and data science
Course Highlights
Key Highlights  Details 

Registration Link  Apply Now! 
Price  INR 449 ( 
Duration  28 Hours 
Rating  4.8/5 
Student Enrollment  94,925 students 
Instructor  Juan E. Galvan https://www.linkedin.com/in/juane.galvan 
Topics Covered 

Course Level  N.A 
Total Student Reviews  1,296 
Learning Outcomes
 Become a certified consultant, data scientist, data engineer, or data analyst
 How to create sophisticated R programs for realworld business problems
 Learn how to manipulate, clean, process, and wrangle data
 Learn how to plot in R (graphs, charts, plots, histograms, etc)
 Creating a résumé and getting your first job as a data scientist
 Practical understanding of the R programming language
 Learn about the numerous applications of machine learning
 Using R Shiny, you can create online dashboards and web applications
 Learn how to manage files and data in R
 R can be used to organize, examine, and display data
 Discover the Tidyverse
 Learn about operators, vectors, and lists, and how to use them
 Visualization of data (ggplot2)
 Web scraping and data extraction
 Development of a whole data science stack
 Creating unique data solutions
 Automating the creation of dynamic reports
 Data science for commercial use
Course Content
S.No.  Module (Duration)  Topics 

1.  Data Science and Machine Learning Course Intro (27 minutes)  Data Science and Machine Learning Intro Section Overview 
What is Data Science?  
Machine Learning Overview  
Data Science + Machine Learning Marketplace  
Who is This Course For?  
Data Science and Machine Learning Job Opportunities  
2.  Getting Started with R (44 minutes)  Getting Started with R 
R Basics  
Working with Files  
R Studio  
Tidyverse Overview  
Additional Resources  
3.  Data Types and Structures in R (04 hours 56 minutes)  Data Types and Structures in R Section Overview 
Basic Types  
Vectors Part One  
Vectors Part Two  
Vectors: Missing Values  
Vectors: Coercion  
Vectors: Naming  
Vectors: Misc.  
Working with Matrices  
Working with Lists  
Introduction to Data Frames  
Creating Data Frames  
Data Frames: Helper Functions  
Data Frames: Tibbles  
4.  Intermediate R (04 hours 14 minutes)  Intermedia R Section Introduction 
Relational Operators  
Logical Operators  
Conditional Statements  
Working with Loops  
Working with Functions  
Working with Packages  
Working with Factors  
Dates & Times  
Functional Programming  
Data Import/Export  
Working with Databases  
5.  Data Manipulation in R (05 hours 39 minutes)  Data Manipulation Section Intro 
Tidy Data  
The Pipe Operator  
{dplyr}: The Filter Verb  
{dplyr}: The Select Verb  
{dplyr}: The Mutate Verb  
{dplyr}: The Arrange Verb  
{dplyr}: The Summarize Verb  
Data Pivoting: {tidyr}  
String Manipulation: {stringr}  
Web Scraping: {rvest}  
JSON Parsing: {jsonlite}  
6.  Data Visualization in R (02 hours 24 minutes)  Data Visualization in R Section Intro 
Getting Started with Data Visualization in R  
Aesthetics Mappings  
Single Variable Plots  
Two Variable Plots  
Facets, Layering, and Coordinate Systems  
Styling and Saving  
7.  Creating Reports with R Markdown (28 minutes)  Introduction to R Markdown 
8.  Building Webapps with R Shiny (01 hour 31 minutes)  Introduction to R Shiny 
Creating A Basic R Shiny App  
Other Examples with R Shiny  
9.  Introduction to Machine Learning (01 hour 08 minutes)  Introduction to Machine Learning Part One 
Introduction to Machine Learning Part Two  
10.  Data Preprocessing (01 hour 04 minutes)  Data Preprocessing Intro 
Data Preprocessing  
11.  Linear Regression: A Simple Model (01 hour 18 minutes)  Linear Regression: A Simple Model Intro 
A Simple Model  
12.  Exploratory Data Analysis (01 hour 28 minutes)  Exploratory Data Analysis Intro 
Handson Exploratory Data Analysis  
13.  Linear Regression – A Real Model (01 hour 24 minutes)  Linear Regression – Real Model Section Intro 
Linear Regression in R – Real Model  
14.  Logistic Regression (01 hour 17 minutes)  Introduction to Logistic Regression 
Logistic Regression in R  
15.  Starting A Career in Data Science (29 minutes)  Starting a Data Science Career Section Overview 
Creating A Data Science Resume  
Getting Started with Freelancing  
Top Freelance Websites  
Personal Branding  
Networking Do’s and Don’ts  
Setting Up a Website 
Resources Required
 Simple computing abilities
Featured Review
Bharat Ratawa (5/5) : I am learning with this guy and he is just awesome tutor or say mentor to teach Language “R”. He explains simpler than the other people who teach. Thanks sir
Pros
 Peter Stewart (5/5): Great course on the fundamentals of data science and machine learning.
 Muhammad Hasnain (4/5): yes it was good work i have understand each and word of the video.
 Bilal Ahmed (5/5): it’s very exciting moment for me! amazing videos with best concept
 Nirav Patel (5/5): nice explanation what we going to do here so student think to buy or not
Cons
About the Author
The instructor of this course is Juan E. Galvan who is a Digital Entrepreneur Business Coach, with 4.5 Instructor Rating and 18,285 reviews on Udemy. He/She offers 15 Courses and has taught 513,290 students so far.
 Juan E. Galvan background is in technology, including programming, web development, digital marketing, and ecommerce
 Juan E. Galvan supports lifelong learning that offers the benefits of a university degree without the drawbacks of high expenses and ineffective teaching techniques
Comparison Table
Parameters  Learn Data Science & Machine Learning with R from AZ  Data Science Real World Projects in Python  Data Analysis Real world usecases Hands on Python 

Offers  INR 455 (  INR 455 (  INR 455 ( 
Duration  28.5 hours  9.5 hours  7 hours 
Rating  4.8 /5  4.3 /5  4.5 /5 
Student Enrollments  94,925  79,617  64,324 
Instructors  Juan E. Galvan  Shan Singh  Shan Singh 
Register Here  Apply Now!  Apply Now!  Apply Now! 
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