TRAINING SERIES OVERVIEW
Duration: ~27:45 hours online training
 
The abundance of data in today's digital world has formed the basis of data science as a critical foundation for organizations to analyze data. This requirement enforces programmers and data scientists to know specific programming languages to analyze data further. This training series focuses on these langauges such as R, Ruby, and Python.
 
COURSE OVERVIEW
 
1. Introduction to R
Duration: ~5:14 hours online training
This course will introduce students to R, as well as teach them about variables, data structures, operators, data frames, and tables.
	
Course 01 - Introduction to R
	
Course 02 - Variables
	
Course 03 - Data Structures and Operators
	
Course 04 - Data Frames and Tables
 
2. Python Fundamentals
Duration: ~8:41 hours online training
This course will teach students about installing and configuring Python, syntax, importing, statements, types, strings, booleans, files, lists, tuples, comprehensions, functions, and classes.
	
Course 01 - Install and Configure
	
Course 02 - Syntax, Import, Other Topics
	
Course 03 - Statements
	
Course 04 - Types
	
Course 05 - Strings, Booleans and Files
	
Course 06 - Lists, Tuples, Comprehensions
	
Course 07 - Functions
	
Course 08 - Classes
 
3. Ruby Fundamentals
Duration: ~5:11 hours online training
This course will introduce students to Ruby, as well as teach them about classes, methods, variables, data structures, loops, enumerable methods, and finishing touches.
	
Course 01 - Getting Started
	
Course 02 - Classes and Methods
	
Course 03 - Variables and Data Structures
	
Course 04 - Loops and Enumerable Methods
	
Course 05 - Finishing Touches
 
4. Python Tools, Modules, and JSON
Duration: ~3:51 hours online training
This course will teach students about programming tools, modules and packages, and metaprogramming and JSON.
	
Course 01 - Programming Tools
	
Course 02 - Modules and Packages
	
Course 03 - Metaprogramming and JSON
 
5. Ruby Intermediate
Duration: ~4:48 hours online training
This course will teach students about conditionals and blocks, metaprogramming, frameworks, and algorithms.
	
Course 01 - Conditionals and Blocks
	
Course 02 - Metaprogramming
	
Course 03 - Frameworks and Algorithms
 
COMPLETION CERTIFICATE
In order to receive the completion certificate, learners must have completed reviewing all the modules and have successfully passed the training mockup exam.