Ruby for Data Science: Analyzing and Visualizing Data

About This Course

“Ruby for Data Science: Analyzing and Visualizing Data” is a comprehensive course that focuses on leveraging the Ruby programming language for data analysis and visualization tasks. This course is designed to equip you with the skills and tools necessary to work with data, perform analysis, and create visual representations using Ruby.

Throughout the course, you will learn the fundamental concepts and techniques required for data science, including data manipulation, cleaning, and preprocessing. You will explore various data analysis methods and algorithms, such as statistical analysis, machine learning, and data mining, and learn how to apply them using Ruby libraries and frameworks.

Furthermore, the course will cover data visualization techniques, allowing you to create compelling visual representations of your data using Ruby-based visualization libraries. You will learn how to generate charts, graphs, and interactive visualizations to gain insights from your data and effectively communicate your findings.

The course will also introduce you to the ecosystem of Ruby tools and libraries specifically tailored for data science, such as Numo, NMatrix, and Daru. These tools will enable you to efficiently manipulate and analyze large datasets, perform complex calculations, and build data-driven applications.

By the end of this course, you will have a solid understanding of how to use Ruby for data science tasks, from data cleaning and preprocessing to analysis and visualization. You will be able to apply your knowledge to real-world data science problems, extract meaningful insights from data, and present them in visually appealing and informative ways.

Whether you are a beginner in data science or an experienced programmer looking to expand your skills to the realm of data analysis and visualization, this course will provide you with the foundation and practical experience to excel in data-driven projects using Ruby.

Learning Objectives

Understanding data manipulation and processing techniques using Ruby's built-in libraries and gems.
Study of data cleaning, transformation, and preparation for analysis.
Techniques for performing statistical analysis and data exploration using Ruby.
Exploration of data visualization tools and libraries in Ruby for creating insightful charts and graphs.
Application of machine learning algorithms and predictive modeling using Ruby.
Practice in handling large datasets and working with data in various formats.

This course is best for:

  • Ruby Developers: If you are a Ruby developer looking to expand your skills and venture into the field of data science, this course is for you. It provides a bridge between your existing Ruby knowledge and the world of data analysis and visualization.
  • Data Analysts: If you work with data and want to leverage the power of Ruby for data analysis and visualization, this course will equip you with the necessary skills. It caters to individuals who want to enhance their data analysis capabilities using Ruby.
  • Aspiring Data Scientists: If you are interested in becoming a data scientist and want to start with the Ruby programming language, this course is a great starting point. It provides a solid foundation in data science concepts and techniques using Ruby as the primary language.
  • Ruby Enthusiasts: If you have a passion for Ruby and want to explore its application in the field of data science, this course is designed for you. It caters to individuals who want to apply their Ruby skills to analyze and visualize data, gain insights, and make data-driven decisions.
  • Software Engineers: If you are a software engineer working with Ruby and want to expand your knowledge and skills to include data science, this course will provide you with the necessary tools and techniques. It targets individuals who want to augment their software engineering skills with data analysis and visualization capabilities.
  • Note: While this course is designed for individuals with a basic understanding of Ruby programming, it also assumes a fundamental knowledge of data analysis concepts. Familiarity with basic statistics and data manipulation will be beneficial but not mandatory.

Curriculum

20 Lessons

Introduction to Data Science with Ruby

Foundations of Data Science and its Applications in Ruby
Data Manipulation and Analysis with Ruby Libraries
Data Visualization and Exploration in Ruby
Introduction to Machine Learning with Ruby
Assignments

Data Manipulation and Preprocessing

Exploratory Data Analysis

Statistical Analysis with Ruby

Machine Learning with Ruby

Data Visualization using Ruby Libraries

Course Provided By

VEDUCARE

0/5
270 Courses
0 Reviews
0 Students
See more
Enrolkart Course - 2023-07-18T191005.060
Level
Intermediate
Lectures
20 lectures
Language
English
Enrollment validity: Lifetime

Explore More Courses

Want to receive push notifications for all major on-site activities?

✕

Don't have an account yet? Sign up for free