This content is made possible by our sponsor; it is not written by and does not necessarily reflect the views of Engadget’s editorial staff.
Programming is a broad term that applies to industries ranging from web design to machine learning, so deciding that you want to learn coding isn’t enough to secure a job. If that doesn’t scare you away, your next big step should be to learn a language and expose yourself to as many different facets of development as possible. This allows you to discover where your talents and interests lie, and ultimately puts you on the path toward success, whether it’s as an app creator or data scientist.
This bundle is loaded with 93 hours of instruction on essential software engineering and data science skills such as Python, Java and C#. Regardless of whether you already have experience in some of these areas, you’re bound to learn something new thanks to this collection’s wide range of topics, ranging from UI design to digital marketing.
If you’re interested in traditional programming, C# is the best skill you can take from this bundle, as it’s used in web development, games and Windows programs. The Software Architecture course is beginner friendly and delves into the core concepts of functional programming like immutable types, extendibility and dealing with errors or nulls.
Python is one of the fastest growing programming languages in use today, so learning it is almost a prerequisite. The 12-hour Machine Learning with Python offers a great starting point, covering concepts like data processing, linear and logistic regression, k-nearest neighbors and more. If you’re more of an entertainer, Python Engineering Animations shows you how mathematics can be used to recreate effects like free-falling, oscillation and even UAV drone motion in Matplotlib.
Prices subject to change.
Engadget is teaming up with to bring you deals on the latest headphones, gadgets, tech toys, and tutorials. This post does not constitute editorial endorsement, and we earn a portion of all sales. If you have any questions about the products you see here or previous purchases, please contact StackSocial support .