Computer Science

Computer Science and Programming: Introduction

(0 reviews)
Share icon
eDX

This training offers essential knowledge in the domains of data, computation, cryptography, and programming, with a focus on the Ruby on Rails framework.

Key AI Functions:data science,algorithms,data mining,big data,forecasting,encryption,computer science,dna sequencing,computer simulation

Description for Computer Science and Programming: Introduction

  • Understanding Data and Computational Processes: Acquire a comprehensive understanding of the principles of data and computation, with particular emphasis on their fundamental components within the realms of programming and technology.

  • Fundamentals of Information Security: Acquire a comprehensive understanding of encryption, decryption, and the foundational principles of cryptanalysis, encompassing both private and public key cryptographic systems.

  • Applications of Computational Methods: Examine the pragmatic applications of computational techniques in contemporary society, including but not limited to computer simulations and data mining.

  • Programming Environment and Ruby on Rails: Acquire practical experience with programming environments, including editors and shells, while commencing your education in fundamental programming concepts utilizing Ruby on Rails.

Level: Beginner

Certification Degree: yes

Languages the Course is Available: 1

Offered by: On edX provided by TokyoTechX

Duration: 2�3 hours per week approx 5 weeks

Schedule: Flexible

Reviews for Computer Science and Programming: Introduction

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for Computer Science and Programming: Introduction

icon
Freemium

NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.

#research #automation
icon
icon
Paid

Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.

#project management # library
icon
icon
Freemium

This AI Forecast tool, powered by machine learning, offers accurate forecasts for business needs, featuring automated data processing, customizable models, and seamless integration with AWS, yet novices may find its ML-based approach challenging, and data transfer costs may apply.

#finance #forecasting
icon
icon
Freemium

This AI tool analyzes extensive data from reports, news articles, and social media to provide precise market sentiment insights for cryptocurrency, stock, or currency trading.

#finance #market analysis
icon
icon
Paid

The tool is powered by AI, provides investors with insights from market events, including sentiment analysis and monetary policy forecasts, to revolutionize investment strategies and maintain a competitive edge.

#finance #stock trading
icon
icon
Freemium

This helps to integrates data from various restaurant systems, utilizes advanced analytics for decision-making, and provides real-time insights to optimize operations and profitability effortlessly.

#finance #startup
icon

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science
icon

Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.

#Data Science #Data Analysis
icon

Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.

#Ethics Of Artificial Intelligence #Data Science
icon

Develop applications that are intelligent. In four practical courses, acquire a comprehensive understanding of the fundamentals of machine learning.

#Data Clustering Algorithms #Machine Learning
icon