Computer Science Courses and Certifications

Machine Learning: Classification

9 reviews

Learn to build and implement classification models for sentiment analysis and loan default prediction using logistic regression, decision trees, and boosting techniques. Gain hands-on experience with real-world datasets and machine learning algorithms.

• Coursera
• 21 hours 25 minutes
• On-Demand
• Paid Course

Mathematics for Machine Learning: Multivariate Calculus

9 reviews

Explore multivariate calculus essentials for machine learning, covering gradients, chain rule, Taylor series, and optimization techniques, with practical applications in neural networks and regression.

• Coursera
• 17 hours 45 minutes
• On-Demand
• Paid Course

Stanford Seminar - Lenia- Biology of Artificial Life, Bert Wang-Chak Chan

Explore artificial life through Lenia, a continuous cellular automaton. Delve into its evolution, physics, taxonomy, and comparisons with Earth life in this thought-provoking seminar.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Online Course

Stanford Seminar - New Golden Age for Computer Architecture - John Hennessy

Explore the evolution of computer architecture, from early IBM systems to modern domain-specific designs, highlighting key innovations and challenges in processor development.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Online Course

Stanford Seminar - Mostly Missless Memory in the Mill CPU

This is one of the series of talks about the mill architecture. The particular topic discussed here is Cache Access. Ivan Godard attemps to oversimplify and provide an intuitive understanding for people who are not specialists in the field.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Free Online Course

CSS: Selectors

249 ratings at LinkedIn Learning

Learn how to leverage the power of selectors to select the elements you want to style without adding classes, changing HTML, or getting overly specific with your selectors.

• LinkedIn Learning
• 2 hours 19 minutes
• On-Demand
• Free Trial Available

Design of Computer Programs

14 reviews

Learn how to model problems, and how to optimize performance by using some of the advanced features of Python.

• Udacity
• 30 hours
• On-Demand
• Free Online Course

AP Computer Science A: Java Programming

Learn Java programming fundamentals, including variables, selection, and object-oriented design. Develop problem-solving skills and explore computer science concepts relevant to the AP Computer Science A exam.

• edX
• 6 weeks, 7-14 hours a week
• On-Demand
• Free Online Course (Audit)

Cutting-Edge CSS

199 ratings at LinkedIn Learning

Learn CSS concepts in an intensely graphical illustration of the powers of CSS.

• LinkedIn Learning
• 25 minutes
• On-Demand
• Free Trial Available

Explore techniques for creating consistent user experiences across different browsers, addressing compatibility issues and ensuring your CSS works seamlessly everywhere.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Making Sense of the CSS Box Model

119 ratings at LinkedIn Learning

Review the core concepts of the CSS box model, including techniques such as styling text and images, floating content, using display properties, and positioning elements.

• LinkedIn Learning
• 1 hour 12 minutes
• On-Demand
• Free Trial Available

Text Retrieval and Search Engines

13 reviews

Learn natural language processing, vector space models, and search engine technologies to effectively retrieve and analyze text data from various sources.

• Coursera
• 1 day 6 hours 49 minutes
• On-Demand
• Paid Course

Rhode Island School of Design

Computing Form and Shape: Python Programming with the Rhinoscript Library

1 review

Explore Python programming with Rhinoscript to create and manipulate 3D forms. Learn algorithmic design techniques for digital drawing, modeling, and projection in architecture, art, and design.

• Kadenze
• 40 hours
• On-Demand
• Free Online Course

CIT-001: Fundamentals of Computer Systems

1 review

Comprehensive introduction to computer systems, covering hardware, software, problem-solving, programming, networking, and information security. Provides practical knowledge for everyday ICT use.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

IIT Kanpur;  NPTEL

Computational Science in Engineering

1 review

Explore computational science fundamentals, including linear algebra, ODEs, PDEs, and numerical analysis. Develop problem-solving skills and tools for scientific simulations across engineering disciplines.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course