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Enquire- 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
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 ...Read more
Online
₹ 199 1990
Quick Facts
| particular | details | |||
|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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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 -
| Head | Amount in INR |
| Original fees | Rs. 1,990 |
| Discounted fees | Rs. 199 |
certificate availability
No
Who it is for
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
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
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