Learn Data Science and Machine Learning with R from A-Z

BY
Eduonix

Learn Machine Learning, Data Analysis and Visualization, Web Apps, and other techniques to become an expert Data Scientist using R.

Mode

Online

Fees

₹ 199 1990

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The Learn Data Science and Machine Learning with R from A-Z online certification address the real statistical computer science topics such as programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organising and commenting on R code as well as how to utilise R for successful data analysis, visualisation, and practical data application.

Learn Data Science and Machine Learning with R from A-Z certification course is created by Juan E Galvan - Entrepreneur, Web Developer & Instructor and offered by Eduonix, an E-learning platform focused at both beginners and experts to help them develop new skills and polish the existing. Learn Data Science and Machine Learning with R from A-Z syllabus covers six main sections such as Data Science + Machine Learning course + R Programming Intro, Data Types/Structures in R, Data Manipulation in R, Data science in R, Machine Learning, and Starting a Data Science Career. The course offers more than 28.83 hours of pre-recorded videos in 81 separate lectures. 

The highlights

  • Self-paced course
  • English videos with subtitles
  • 28.83 hours of pre-recorded video content
  • 81 online lectures
  • 30-day money-back guarantee
  • Accessible on portable devices

Program offerings

  • Self-paced course
  • English videos with subtitles
  • Pre-recorded video content
  • Online lectures
  • 30-day money-back guarantee
  • Lifetime access
  • Accessible on portable devices.

Course and certificate fees

Fees information
₹ 199  ₹1,990

The fees for the course Learn Data Science and Machine Learning with R from A-Z is -

HeadAmount in INR
Original feesRs. 1,990
Discounted feesRs. 199
certificate availability

No

What you will learn

R programming Data science knowledge Machine learning Knowledge of data visualization

After completing the Learn Data Science and Machine Learning with R from A-Z online training, students will gain a deeper understanding of data science and machine learning techniques that are employed in data analysis. Students will master the principles of the R programming language and will write complex R programmes for real-world applications. Students will also be able to clean, process, wrangle and alter data to extract value

The syllabus

Section 1: DS and ML from A-Z Course Intro

  • Data Science ML Course Intro 
  • What is data science? 
  • Machine Learning Overview 
  • Who's this course is for?
  • DL and ML Marketplace
  • Data Science and ML Job opportunity
  • Data Science Job Roles

Section 2: Getting Started with R

  • Getting Started 
  • Basics 
  • Files 
  • RStudio
  • Tidyverse
  • Resources

Section 3: Data Types and Structures in R

  • Section Introduction
  • Basic Types
  • Vectors Part One
  • Vectors Part Two
  • Vectors - Missing Values
  • Vectors - Coercion
  • Vectors - Naming
  • Vectors - Misc
  • Creating Matrices
  • 10 Lists
  • Introduction to Data Frames
  • Creating Data Frames
  • Data Frames_Helper Functions
  • Data Frames - Tibbles

Section 4: Intermediate R

  • Section Introduction Intermediate R
  • Relational Operations
  • Logical Operators
  • Conditional Statements
  • Loops
  • Functions
  • Packages
  • Factors
  • Dates and Times
  • Functional Programming
  • Data Import or Export
  • Database

Section 5: Data Manipulation in R

  • Data Manipulation in R Section Introduction
  • Tidy Data
  • The Pipe Operator
  • The Filter Verb
  • The Select Verb
  • The Mutate Verb
  • The Arrange Verb
  • The Summarize Verb
  • Data Pivoting
  • JSON Parsing
  • String Manipulation
  • Web Scraping

Section 6: Data Visualization in R

  • Data Visualization in R Section Introduction
  • Getting Started
  • Aesthetics Mappings
  • Single Variables Plot
  • Two Varible Plots
  • Facets Layering and Coordinate System
  • Styling and Saving

Section 7: Creating Reports with R Markdown

  • Creating Reports with R Markdown

Section 8: Building Web apps with R Shiny

  • Section Introduction With R Shiny
  • Basic App
  • Other Examples

Section 9: Introduction to Machine Learning

  • Intro to Machine Learning - Part 1
  • Intro to Machine Learning - Part 2

Section 10: Data Preprocessing

  • Data Preprocessing Intro
  • Data Preprocessing

Section 11: Linear Regression: A Simple Model

  • Linear Regression: A Simple Model Intro
  • A Simple Model

Section 12: Exploratory Data Analysis

  • Exploratory Data Analysis Intro
  • Hands-on Exploratory Data Analysis

Section 13: Linear Regression - Real Model

  • Linear Regression - Real Model Section Intro
  • Linear Regression in R - Real Model

Section 14: Logistic Regression

  • Introduction to Logistic Regression
  • Logistic Regression in R

Section 15: Starting A Career in Data Science

  • Starting a Career in Data Science 1
  • Data Science Resume1
  • Getting Started with Freelancing1
  • Top Freelancing Websites1
  • Personal Branding1
  • Importance of Website and Blog1
  • Networking do's and dont's

Instructors

Mr Juan E Galvan
Instructor
Freelancer

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