Do you want to learn how to design effective algorithm? Are you willing to seek help from qualified and experienced instructors for this purpose absolutely free?

Algorithm is a clear sequence of actions aimed at achieving the goal or to solve a problem or it is a description of any sequence of actions to be performed to address a given problem. Compression algorithms can improve storage efficiency and transmission by reducing the amount of redundancy. There is no need to explain the important role of smoothing algorithms for technical analysis and trading systems. Just look at the code for almost any indicator to locate it in an explicit or implicit form algorithm. Currently, there are a lot of developers in the market who are developing more efficient algorithms for smoothing.

This guide is beneficial for students – who want to know about the basics of how to form an effective algorithm in a timely fashion without any fault and for advanced users – who have a complete understanding of different programming languages (PHP, Python, Java, etc) but are still confused with some key concepts used in the development of algorithm. This course will help you learn:

Growth Rates in Social Networks (understanding and using different mathematical tools and systems to analyze how things are connected)
Basic Graph Algorithms (Finding the best possible and quickest route leading to Kevin Bacon)
It’s Who You Know (learn how to track your best friends while using heaps)
Strong and Weak Bonds (Working with social networks with edge weights)
Hardness of Network Problems (Exploring the avenues to understand the means for a social network problem)
Conclusion (Using your knowledge to solve the algorithmic problems)
 
This efficient, effective and convenient guide has been designed and prepared by Michael Littman (Professor of Computer Science at Rutgers University) and Job Evers (course developer).