It might be difficult to choose which of the many reputable higher education institutions that are now providing free online courses you should enrol in since there are so many options available. Here we have jotted down a list of universities along with the course names. Take a quick at the names!
They provide a little something more to your CV and are a wonderful talking point in interviews, in addition to being a terrific way to spend your spare time. If you want to improve your work chances, taking free online courses is an excellent method to do it.
It might be difficult to choose which of the many reputable higher education institutions that are now providing free online courses you should enrol in since there are so many options available. Here we have jotted down a list of universities along with the course names. Take a quick at the names -
- CS50’s Introduction to Computer Science -An overview of the academic pursuits that computer science and the art of programming include.
- CS50’s Introduction to Artificial Intelligence with Python — Learn to use machine learning in Python in this introductory course on artificial intelligence.
- CS50’s Introduction to Game Development — Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.
- Introduction to Data Science with Python — Learn the concepts and techniques that make up the foundation of data science and machine learning.
University of California, Irvine
- Cloud Systems Software — This course is part of the System Issues in Cloud Computing Specialization.
- Materials Data Sciences and Informatics — This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science.
- Cloud Applications- This course provides an introduction to the development and support for Cloud-native applications, more specifically it delves into best practices for developing applications; migrating on-premise applications to the cloud; the basic building blocks and properties expected from Cloud applications.
- Software-Defined Networking — This course provides an introduction to data centre networking technologies, more specifically software-defined networking. It covers the history behind SDN, the description of networks in data centres, a concrete data-centre network architecture (Microsoft VL2), and traffic engineering.
Georgia Institute of Technology
- Computing for Data Analysis — This course is your hands-on introduction to programming techniques relevant to data analysis and machine learning. Most of the programming exercises will be based on Python and SQL.
- Computing in Python IV: Objects and Algorithms — Complete your introductory knowledge of computer science with this final course on objects and algorithms. Now that you’ve learned about complex control structures and data structures, learn to develop programs that more intuitively leverage your natural understanding of problems through object-oriented programming.
- Introduction to Java Programming II: Object-Oriented Programming and Algorithms — Build on the skills learned from “Introduction to Java Programming I: Foundations and Syntax Basics” and learn the basics of writing classes that serve as blueprints of concepts or objects that are represented in a programming problem.
Massachusetts Institute of Technology (MIT)
- Computer System Engineering — This class covers topics on the engineering of computer software and hardware systems. Topics include techniques for controlling complexity; strong modularity using client-server design, operating systems; performance, networks; naming; security and privacy; fault-tolerant systems, and so on.
UCL (University College London)
- Statistical Computing with R Programming Language: a Gentle Introduction — This short course (6 to 8 hours) provides a gentle introduction to the R software and programming environment. The course is free, and delivered entirely online, so you can work at your own pace at whatever time suits you.
- Introduction to Statistics with R — You will be introduced to the fundamental principles of statistics and to ways of conducting your own analyses, including significance tests and linear regression techniques. You will use the free software Rstudio, which is a user-friendly interface for R, for all practical aspects of the course.
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