Data Structures

Data Structures Explained with Videos + Exercises

When you are dealing with terabytes and petabytes of data that you somehow need to analyze and make sense of, the magnitude of the problem is clearly more complex than finding a set of car keys. Data analysts spend up to 80 percent of their time preparing data for analysis and only 20 percent of the time actually doing the analysis.

Data structures give you a way to collect and organize data so that you can do something with it. A program’s algorithm is responsible for the “do something with it” part—it’s the underlying logic that performs operations on your data—so data structures and algorithms are inextricably linked.

When you are looking for something—for example, you want to know in real time how your customers are talking about your product across all social networks—the speed and efficiency of your search is of utmost importance. Structuring the data is key to maximizing the speed and efficiency of your searches so that you can get to the analysis as quickly as possible.

A data structure is a specialized format for organizing and storing data. General data structure types include the array, the file, the record, the table, the tree, and so on.

Any data structure is designed to organize data to suit a specific purpose so that it can be accessed and worked with in appropriate ways. In computer programming, a data structure may be selected or designed to store data for the purpose of working on it with various algorithms.

Some Data Structures App features:

* What is data structure?

* Data Structures Explained with Videos + Exercises.

*data analysis.

*c programming.

*computer science.

*data structure.

*data mining.

*programming.

*programming languages.

*data mining techniques.

*Work with Nodes in a Linked List.

*Create a Linked List Class.

*Remove Elements from a Linked List.

*Search within a Linked List.

*Remove Elements from a Linked List by Index.

*Add Elements at a Specific Index in a Linked List.

*Create a Doubly Linked List.

*Reverse a Doubly Linked List.

*queue solution.

*programming interview.

*graph theory.

*queueing solution.

*learn binary.