Computer Science Courses
Showing 49–60 of 115 results
IBM: Introduction to Statistics for Data Science using Python
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis.
IBM: Introduction to Watson AI
Learn how to quickly and easily get started with Artificial Intelligence using IBM Watson.
IBM: IT Support Case Studies
This Capstone course provides a series of case studies for demonstrating skills to perform in a Technical Support role. It also includes a practice exam to help you prepare for the CompTIA IT Fundamentals (ITF+) Certification Exam.
IBM: Linux Commands & Shell Scripting
This mini-course describes shell commands and how to use the advanced features of the Bash shell to automate complicated database tasks. For those not familiar with shell scripting, this course provides an overview of common Linux Shell Commands and shell scripting basics.
IBM: Microservices and Serverless
Design, develop, deploy, manage and secure applications and solutions on public, private or hybrid cloud platforms
IBM: Operating Systems and Security
This course focuses on the foundational concepts common to all operating systems and the unique aspects of Windows, Linux, and macOS.
IITBombayX: Algorithms
Learn how to structure and use algorithms to solve real life problems.
IITBombayX: Foundations of Data Structures
Learn the best way to structure and represent data.
IITBombayX: Implementation of Data Structures
Learn how to write correct and efficient data structures manipulation using existing standard template library (STL) of C++. Get introduced to the power of STL and make your code more solid, reusable, and robust.
IITBombayX: Object-Oriented Programming
Learn the principles of programming for building large and extensible systems.
IITBombayX: Programming Basics
Learn basic computer programming skills and master the art of writing C/C++ programs to solve real world problems.
IMTx: Understanding Artificial Intelligence through Algorithmic Information Theory
Can we characterize intelligent behavior? Are there theoretical foundations on which Artificial Intelligence can be grounded?