Learning about data  structures and algorithms gives you better insight on how to solve  common programming problems. Most of the problems faced every day by  programmers have been solved, tried, and tested. By knowing how these  solutions work, you can ensure that you choose the right tool when you  face these problems.

This course teaches you tools  that you can use to build efficient applications. It starts with an  introduction to algorithms and big O notation, later explains bubble,  merge, quicksort, and other popular programming patterns. You'll also  learn about data structures such as binary trees, hash tables, and  graphs. The course progresses to advanced concepts, such as algorithm  design paradigms and graph theory. By the end of the course, you will  know how to correctly implement common algorithms and data structures  within your applications. 

About the Author

Kristian Secor has been in  the industry for quite a while. He a M.S. focusing on web development  and an Ed.D focusing on educational technology. He has been developing  for about 20 years and has been teaching for about 16 years at the  University level for the frontend, backend, and mobile application  courses. Currently, he is working as the Program Head for the Web  Development Department at San Diego Mesa College. He is also an  instructor for both user experience and frontend development at U.C. San  Diego Extension.