Big data analysis with MATLAB software


Why Big Data Analysis with MATLAB?

In recent years, by defining the subject of big data, various tools have been provided to analyze this valuable mine of knowledge, and as we move along this path, we face new challenges. Tools that work with different programming languages ​​and are subsets of other frameworks, in addition to their benefits, engage users with the challenge of learning new programming languages ​​as well as working with different modules. MATLAB software, which has long been available to researchers and executive teams as an efficient and extensive tool in various fields of science, finally unveiled its powerful toolkit in big data analysis in the second version of 2016. This made many programmers happy who had previously worked in many scientific fields with this software.

The MathWorks team, like all its other toolboxes, is increasingly increasing performance and removing the limitations of the BIG DATA toolbox, so that in the first version of 2017, many specialized toolboxes were linked to the toolbox, enabling users to No need for any new software and programming language, and also without the need for clustering and parallel processing of computers and the use of generalized memory and enter the world of big data analysis with the help of a home laptop. Analyzing data that is larger than memory capacity, with the help of a high-level language called MATLAB, has removed many obstacles to the development of individuals and the spread of this fledgling knowledge.




Big Data Analysis Course:

Many tutorials these days, unlike movies, are not open-ended!

Tutorials that introduce only a set of tools and users learn the topics mentioned, but do not know how to use the tool and, more importantly, do not know where the tool is used.

In the next course, before introducing the big data toolkit, the concept of data analysis as well as the most important methods used in it (from simple to advanced) are explained and implemented in the software.

In this regard, at the end of the chapters, tests and projects are placed so that users can summarize what they have learned step by step.

In the next step, the big data toolkit is introduced and users are introduced to its new concepts and learn how to use this tool by looking at examples.

Then, the combination of the said data analysis methods and the big data toolbox gives users a new ability at the core of big data analysis.

In the last step, by implementing very practical examples in the real world, the final destination in why and how the nature of this training course is revealed.




Prerequisites for this course:

This course requires mastery of basic mathematical concepts. Other topics of theory depend on the application of this tool to individuals. In any system, there is a need for a mathematical and logical model to analyze and improve the system, the mastery of these concepts is the responsibility of individuals and it is not possible to present them in the topics of this course. In practical examples, wherever theoretical information is needed in the system, it will be explained in the same section. In terms of programming, it is necessary for the dear audience to have passed the introductory programming course with MATLAB software.


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