Algorithms in C++ is pretty exhaustive course on course Algorithmic Problem Solving and paves your way to become a top-notch programmer. This online algorithms course is offering you a wealth of programming challenges that you may face at your next job interview. With over 100 video lectures and several practice problems. Through these online classes and practicing problems, the students will not only become more efficient with their solutions by optimising space and time but this course will also provide them a firm base to excel in all their programming interviews. In this course you will learn to optimize algorithms and enhance your problem solving skills. Learning to optimize algorithms is important to work on large scale data and solving a plethora of queries.The core focus of the course is to maintain an equilibrium between theory and practical knowledge with an ample amount of practice questions based on Brute Force, Divide & Conquer, Greedy Algorithms, Dynamic Programming, Bit Manipulation, Graph Algorithms, Pattern & String Matching. The course will be taught by our expert instructor Prateek Narang. A prior knowledge of Basic Programming- C++ and Data Structures will help you perform better for this particular course.
This course will also provide you a firm base to excel in all your placement or internship interviews. So what are your waiting for, enhance your programming skills and crack jobs and internships at bigwigs like Google, Directi, CodeNation, Arcesium, etc.
Currently doing his Masters in Machine Learning from IIT Delhi, Prateek is an ace programmer who has worked with SanDisk and HackerEarth in the past. He has also won prestigious hackathons including Google’s Code For India and Smart City Hackathon. A Computer Science Graduate from DTU, he is highly popular among students for his teaching methods. His interactive CV (www.prateeknarang.com) is also well known in 120+ countries.
Sanket is a sharp competitive programmer with a strong hold in Algorithms. He is a Google Summer Of Code student developer for Berkman Klein Centre at Harvard University. He has worked as a Deep Learning Researcher at Indian Space Research Organization(ISRO) & displayed exemplary leadership and coding skills. A multi-hackathon winner, Sanket loves to mentor students in free time and is also interested in building cool machine learning and web applications.