Courses are individual classes that can be taken at universities, colleges, junior colleges, and trade schools worldwide. For even greater flexibility, many schools also offer online classes. Students can take individual classes or pursue degree programs.
The foundations of computer science actually date back to before the modern computer had actually been created. For instance, algorithms for computing have been around for hundreds of years. One book of Sanskrit algorithms dates back to 800 BC.
The United States of America is a large country in North America, often referred to as the "USA", the "US", the "United States", "America", or simply "the States". American colleges are funded by "tuition" charged to the student, which is often quite expensive, very commonly reaching into the tens of thousands of dollars per year.
Online Course in Computer Science in USA
The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. [+]
The Cybersecurity Specialization covers the fundamental concepts underlying the construction of secure systems, from the hardware to the software to the human-computer interface, with the use of cryptography to secure interactions. [+]
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have basic a python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. [+]
This Specialization covers intermediate topics in software development. You’ll learn object-oriented programming principles that will allow you to use Java to its full potential, and you’ll implement data structures and algorithms for organizing large amounts of data in a way that is both efficient and easy to work with. [+]
You will produce a portfolio of data analysis projects from the Specialization that demonstrates mastery of statistical data analysis from exploratory analysis to inference to modeling, suitable for applying for statistical analysis or data scientist positions. [+]
This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. [+]
Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. [+]
This Specialization covers the theoretical and practical foundations of video game production using the Unity 3D game engine. The Specialization is taught by faculty at Michigan State University with over fifty years of combined experience building games and teaching game production. [+]
This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. [+]
This Specialization covers the fundamentals of iOS application development in the Swift programming language. You’ll learn to use development tools such as XCode, design interfaces and interactions and evaluate their usability, and integrate camera, photo, and location information to enhance your app. [+]
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. [+]