Career Builder: Introduction to Rapid Algorithms (Part I)
A beginner's course on Data Algorithms for students exploring the potential of Data Science or IT professionals who have experienced the need for learning Data Algorithms.
As more career opportunities in the field of Data Science have been springing up in recent times, there is an increasing demand for IT professionals who are capable of developing algorithms for searching, retrieving and processing data. These algorithms are, in fact, mandatory for Data Scientists and Software Engineers who work with large-scale databases.
For a more advanced course on Data Algorithms, check this course out.
This course has been structured based on the requirements of any beginner to Data Algorithms. It starts with answering what Algorithms are and moves on to explain the concept of Recursive Algorithms, the understanding of which is essential for developing scalable and efficient algorithms. You will also learn the following:
- 6 Sorting Algorithms including Bubble sort, Merge sort and Bucket sort
- The method of Dividing and Conquering
- The method of Backtracking
- Problems such as N Queen problem and Subset Sum problem
Pre-requisites and Target Audience:
A basic understanding of Data Structures is essential to effectively use this course. It is also advised to practice the examples used in the course. Hence, you will need proficiency in using any of the following programming languages: