The platform partners with top universities and industry leaders from around the world to offer high-quality courses on a flexible schedule. They teach topics from business to social science, but of course, where I think they shine are their tech and programming courses. (I might be biased, though…)
One of the coolest things about Coursera is that in addition to individual courses, they also feature structured learning paths called specializations, and even accredited online master’s degrees from leading universities. In short, Coursera has learning options for every goal, big or small.
When it comes to programming for beginners, there’s just as much variety, whether you’re eyeing software engineering or data science as a future career. In today’s sponsored post, I want to share some of the best Coursera courses and specializations for aspiring programmers.
You can purchase these courses individually, or you can buy all the courses in a specialization as a bundle if you’re confident about the path in tech you want to take. When you complete a course, you’ll receive a shareable electronic Course Certificate or Specialization Certificate that you can add to your LinkedIn and resume.
This 3-course specialization will give you an excellent start in the fundamental concepts of computer science. You’ll get a handle on the math side of things, learn how to create 2D and interactive graphics, use coding to solve puzzles and problems, and more.
With SQL, you’ll learn the foundational skills to start analyzing data like a data scientist. By the end of this course, you’ll be able to use different types of data like strings and numbers, write simple and complex data selection queries, and grasp the fundamentals of SQL. The course is taught by Sadie St. Lawrence, a data scientist and founder/CEO of Women in Data.
Explore a career as a software engineer throughout this 5-course specialization that mainly teaches you the fundamentals of Java programming. It’s ideal for beginner-level students who want to learn the basics of software development and build a project of their own at the end.
Build web pages from the ground up using HTML and CSS, which are two of the simplest and best programming languages for beginners. During the course, you’ll code a mobile-friendly restaurant web page and a fully functional web app.
This 5-course specialization introduces fundamental programming concepts, including data structures, networked application program interfaces, and databases—all programmed with Python. In the capstone project, you’ll pursue your own project to visualize data, as well as designing and creating your own applications for data retrieval and processing using Python.
In this course, you’ll learn how to program in R use the language for effective data analysis. Understand the basic data types in R, use control structures, learn how to configure statistical programming software, loop functions, and debugging tools in R, and more. You’ll also get to work on programming assignments to sharpen your skills.
This comprehensive Ruby on Rails intro course goes beyond the basics to cover more advanced topics such as arrays, hashes, Ruby gems, unit testing, and more. By the end, you’ll be able to build and deploy a web application to the cloud.
In this 3-course specialization, you’ll learn how to write SAS programs to access, explore, prepare, and analyze data. SAS programming can be used for applications spanning data science, machine learning, and artificial intelligence! By the end of the three courses, you’ll be ready to take the SAS® Base Programmer certification exam to boost your marketability.
Did you know that Scala is at the core of huge sites like Twitter and Tumblr (plus Coursera itself)? This 5-course specialization will prepare you to work on similar projects. The courses inside teach you how to write elegant functional code, analyze and manipulate data, design libraries and APIs, create reactive applications, and more. During your capstone project, you’ll use real-world data to build a large data-processing application of your own.
In this 4-course specialization, you’ll be using C code to develop algorithms and solve complex problems. At the end of this specialization, you’ll incorporate what you’ve learned into a Monte Carlo simulation for calculating poker hand probabilities.