Computer Science 101: Master the Theory Behind Programming
Why take this course?
🎓 Computer Science 101: Learn Computer Science to become a better Programmer and Software Engineer!
🚀 Master the Theory Behind Programming 🚀
Are you eager to dive into the world of programming and software engineering, but feel like something is missing from your skill set? Perhaps you've been coding for a while and want to solidify your understanding of the principles that make a programmer truly stand out? Computer Science 101 with Kurt Anderson is here to guide you through the essentials of computer science theory, which is the cornerstone of effective programming.
Why Enroll in This Course? 🤔
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No Prior Experience Necessary! 🏗️ Computing and its underlying theories are not just for the analytically inclined. With Computer Science 101, you'll discover that these concepts can be grasped by anyone willing to learn through a variety of easy to digest lessons tailored for beginners.
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Importance of Theory in Programming 🧠 Great programmers know the importance of understanding the theory behind programming languages. This course will teach you how to apply these theories across various programming languages, elevating your problem-solving skills and making you a more versatile coder.
Course Highlights ✨
This course is packed with fundamental topics that every aspiring programmer should know:
- Binary Number System
- N Notation
- Big O Notation
- How to Analyze a Program
- Arrays and Their Advantages
- Nodes and Their Importance
- Linked Lists and Their Advantages & Implementations
- Stacks (with Arrays & Linked Lists)
- Queues (with Arrays & Linked Lists)
- Sorting Algorithms and Their Comparisons
- Trees and Binary Search Trees
- ...and so much more! 📚
My Guarantee to You 🤝
I am confident that you will find this course valuable and engaging. To back up my confidence, I offer a 100% 30-day money-back guarantee through Udemy. If for any reason you are not satisfied with your purchase, I'm here to offer a full refund.
Ready to Get Started? 🎞️
Enroll today and begin your journey at your own pace. Whether you're busy now or can only dedicate time later, this course is designed to accommodate your schedule. You don't have to rush—learn effectively, on your terms.
About the Instructor 👩💻
Kurt Anderson is an experienced instructor who has designed this course with a focus on clarity and accessibility for all learners. With his guidance, you'll navigate through complex topics in computer science and emerge with a solid understanding of the fundamentals.
So, are you ready to take your programming skills to the next level? Enroll in Computer Science 101 today and start building a stronger foundation in computer science theory. I'm looking forward to seeing you inside the course!
Thanks for considering this course for your learning journey. I can't wait to help you unlock your potential in programming and software engineering. Let's get started! 🫠
See you inside the classroom, Kurt Anderson
Course Gallery
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Comidoc Review
Our Verdict
Computer Science 101: Master the Theory Behind Programming course is a great starting point for those looking to refresh or expand their understanding of computer science fundamentals. The engaging instructor explains complex concepts in an accessible manner, supported by real-world examples and some Python code snippets. However, be prepared for an emphasis on theory over practical applications, as hands-on coding examples become less frequent later in the course. While some visual improvements could enhance the overall experience, the engaging presentation style successfully supports a comprehensive exploration of fundamental computer science concepts.
What We Liked
- Covers fundamental concepts in computer science theory, including algorithm analysis and data structures
- Explained in a clear and concise manner with real-world examples and some Python code snippets
- Engaging presentation style that effectively breaks down complex topics for beginners
- Instructor is knowledgeable, answers questions in the Q&A section, and provides helpful notes
Potential Drawbacks
- Course visuals could be improved with more organized and edited slides, instead of handwriting
- Lacks depth on some famous algorithms and graph theory
- Limited coding examples after the sorting arrays section; primarily focused on theory
- Some terms used are not mathematically correct; may require background knowledge for full understanding