Algorithms and Data Structures in C++ (2020)

Learn Algorithms and Data structures in C++, get ready for enginnering interview

3.85 (207 reviews)
Udemy
platform
English
language
Software Engineering
category
Algorithms and Data Structures in C++ (2020)
8,383
students
2.5 hours
content
Dec 2019
last update
$39.99
regular price

What you will learn

Explain and Use Sorting Algorithms

Construct Efficient Algorithms

Explain and Use Data Structures

Solve Problems

Why take this course?

🚀 **Course Title:** Algorithms and Data Structures in C++ (2020) 🎓 **Course Headline:** Master Algorithms and Data Structures in C++ to Ace Your Engineering Interview! **Unlock the Secrets of Problem Solving with C++!** Are you ready to elevate your programming skills from mere code-writing to a level where problem solving becomes second nature? 🤔 **Algorithms & Data Structures in C++** is the course that will transform your approach to coding. 🔍 **Why Algorithms Overcome Language Barriers:** - **Problem Solving Mastery:** Unlike programming languages, which can be grasped quickly, problem-solving prowess is a skill honed over time. This course equips you with the ability to tackle any problem thrown your way. - **Interview Readiness:** Engineers are judged not just on their coding abilities but also on their analytical and problem-solving skills during interviews. This course prepares you to showcase yours effectively. - **Dream Job Achievement:** Knowing how to solve a wide range of problems is crucial for landing your dream job. This course lays the foundation for just that. 📚 **Learn Efficiently:** - **Fast-Paced and Engaging Content:** No time for tedious lectures? We've got you covered! Our fast-track approach ensures you absorb the key concepts without the fluff. - **Expert Instructor:** Led by Luke's Programming School, your instructor has distilled years of experience into concise, practical lessons tailored to help you excel. **Course Curriculum Overview:** 1. **Sorting Algorithms:** Master the art of organizing data with an in-depth look at different algorithms, each followed by a clear C++ implementation. 2. **Data Structures:** Dive into essential data structures that every programmer should know. We've handpicked the most impactful ones to teach you the core concepts effectively. 3.🔧 **Advanced Problem Solving Techniques:** - Solve classic problems like the Knapsack and Minimum Spanning Tree using advanced techniques. - Learn how to apply these techniques in real-world scenarios. **What You Will Gain:** - A deep understanding of algorithms and data structures. - Problem-solving strategies that will make you stand out during interviews. - Practical experience implementing these concepts in C++. - Confidence in tackling complex problems with ease. 🎉 **Join the Ranks of Top Engineers!** With Algorithms and Data Structures in C++, you're not just taking a course—you're embarking on a journey to become an expert problem solver and a top-tier engineer. Sign up now and take the first step towards a future full of opportunities! 🚀💻 **Enroll Today and Code Your Success!**

Screenshots

Algorithms and Data Structures in C++ (2020) - Screenshot_01Algorithms and Data Structures in C++ (2020) - Screenshot_02Algorithms and Data Structures in C++ (2020) - Screenshot_03Algorithms and Data Structures in C++ (2020) - Screenshot_04

Our review

--- **Global Course Rating:** 3.85 ### **Pros:** - **Clear Visual Aids:** Some students appreciated the use of pictorial algorithms and animations which helped in understanding complex concepts. - **Content Relevance:** The content was found to be helpful for those looking to review or understand topics from a different perspective. - **Comprehensive Coverage:** The course covered all codes and theory, according to some reviews. - **Overall Recommendation:** A few students recommended the course, with the suggestion that the instructor should focus more on detail and clarity in certain sections. ### **Cons:** - **Accent and Language Issues:** An instructor's accent was difficult to understand for some students, and caption errors made it harder to follow along. - **Beginner Coding Challenges:** The coding examples were not well elaborated for beginners, making it difficult for novices to grasp the concepts. - **Lack of Advanced Content:** Some advanced algorithm topics, such as graph algorithms and dynamic programming, were not covered in depth, leading students to seek alternative resources for a more comprehensive understanding. - **Environment Setup and Code Execution:** A significant issue was the lack of explanation on how to set up an environment or write a full program, which is crucial for practical application. - **Pedagogical Approach:** The teaching method, particularly in explaining code line by line, was suggested to be improved for better comprehension. Some students felt that seeing the code being written in real-time and discussing it step-by-step would be beneficial. - **Code Debugging and Examples:** It was recommended that showing iterations of code through debugging would aid in understanding how the code works. - **Theoretical Explanation Lack:** Some students felt that the course lacked a clear explanation of why certain approaches were taken, and the theoretical underpinnings of concepts were not adequately explained. - **Presentation Clarity:** The presentation style, particularly in relation to using pointers, made it challenging for some students to follow along with which section the tutor was discussing. - **Introductory Confusion:** The course introduced new topics abruptly without proper context or explanation, leading to confusion. - **Economic Concerns:** Some students were not satisfied with their investment in the course due to the perceived poor quality of theory and code explanations, feeling that it could lead to a misunderstanding of data structures. ### **Summary:** The course has its strengths, particularly in its visual aids and comprehensive coverage, but it falls short in addressing beginner coding needs effectively, providing advanced content, and ensuring clear theoretical explanations. The pedagogical approach requires refinement, with a focus on step-by-step code explanation, debugging examples, and more detailed instruction on setting up the development environment. While some students found value in the course, others felt their money and time were wasted due to the lack of clarity and depth in critical areas. A balance between theoretical explanations and practical application is necessary to improve student satisfaction and learning outcomes.

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1626928
udemy ID
4/2/2018
course created date
7/17/2019
course indexed date
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