Get yourself trained on Data Structures and with this Online Training Data Structures and Algorithms Through C# In Depth.
Online Training Data Structures and Algorithms Through C# In Depth
This is a thoroughly detailed course that uses lots of animations to help you visualize the concepts.Subtitles are available for the firstthreesections.Closed Captioningfor rest of thesections is in progress.This course will help you develop a strong background in Data Structures and Algorithms. The course is broken down into easy to assimilate short lectures, and after each topic there is a quiz that can help you to test your newly acquired knowledge. The examples are explained with animations to simplify the learning of this complex topic. Complete working programs are shown for each concept that is explained.This course provides a comprehensive explanation of data structures like linked lists, stacks and queues, binary search trees, heap. Various sorting algorithms with implementation and analysis are included. Concept of recursion is very important for designing and understanding certain algorithms so the process of recursion is explained with the help of several examples.Throughout the course, a step by step approach is followed to make you understand different Data Structures and Algorithms. Through this course you can build a strong foundation in Data Structures and Algorithms that can help you to crack coding interviews and work in the industry.In this course, C# is used for implementing various Data Structures and Algorithms, but you can easily implement them in any other language like C++, Java or Python.What students are saying about this course-“Clear and concise explanation of basic to advanced data structures. I was able to utilize this knowledge in refactoring my application to perform faster. Lot of concepts were covered in this course which helps in tackling interview questions.””This course is good and really demonstrates what should the developers know before the technical interview with top companies such as Amazon , Google , Microsoft “”I really like this course and am learning a lot, even though I studied Data Structures during my college days no one explained like this way. Very detail oriented and simply superb! Keep up the great work!” “This course is extraordinary i recommend for all data structure and algorithm beginner who study any programming language “”This is an excellent course – very similar to the Intro to Data Structures and Algorithms course I took in college. The diagrams and pictures are very helpful. The examples are all written out in clear and simple C# code. If your goal is to be able to whiteboard coding algorithms this course is a good place to start.””short and precise introduction, author is convincing as efficient instructor””Very informative and the visual style helped picture it better.””Nice explanation of Trees and Binary Tree””Very clear and concise explanations and examples. I learned a lot of data structures.””the explanation is clear and easily understandable” “Concepts explained neatly !!” “The lectures are clear and precise.”
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.