Get yourself trained on Byte-Sized-Chunks: Graph Algorithms with this Online Training Byte-Sized-Chunks: Graph Algorithms and Problems in Java.
Online Training Byte-Sized-Chunks: Graph Algorithms and Problems in Java
Note: This course is a subset of our much longer course ‘From 0 to 1: Data Structures & Algorithms’ so please don’t sign up for both:-)This is an animated, visual and spatial way to learn data structures and algorithmsOur brains process different types of information differently – evolutionarily we are wired to absorb information best when it is visual and spatial i.e. when we can close our eyes and see itMore than most other concepts, Data Structures and Algorithms are best learnt visually. These are incredibly easy to learn visually, very hard to understand most other waysThis course has been put together by a team with tons of everyday experience in thinking about these concepts and using them at work at Google, Microsoft and FlipkartTaught by a Stanford-educated ex-Googler.The graph is a data structure that is used to model a very large number of real world problems. It’s also an programming interview favorite. The study of graphs and algorithms associated with graphs forms an entire field of study called graph theory.Directed and undirected graphsAdjacency matrices, lists and setsBreadth and Depth-First traversalTopological sortDjikstra’s algorithmBellman-Ford algorithmPrim’s algorithmKruskal’s algorithm
Udemy helps organizations of all kinds prepare for the ever-evolving future of work. Our curated collection of top-rated business and technical courses gives companies, governments, and nonprofits the power to develop in-house expertise and satisfy employees’ hunger for learning and development.
Learn on your schedule with Udemy
Investing in yourself through Learning
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.