DATA ANALYTICS COURSE AND TECHNOLOGIES

INTRODUCTION
Every day, new technologies are discovered and launched on the market. If we talk about the current technological scenario, the current market is working on data. Due to new technologies, the amount of data is increasing rapidly. The amount of data doubles every year. This shows the increase in the data generation rate.
                                          
What is data analysis?
Data analysis is a collection of large amounts of data. This data cannot be processed and stored using traditional methods. In fact, the large size of the data also increases the complexity of the data. Traditional methods cannot cope with this, and as a result, new frameworks and technologies for data analysis have been discovered.

WHAT TYPE OF DATA COMES UNDER THE DATA ANALYSIS?
Data analysis consists of courses on data analytics collected from different resources and devices. They are listed below.

BLACK BOX DATA
The data in the black box is data from airplanes, planes, helicopters, etc. This data consists of information from microphones, headphones, flight sound, recordings, etc. etc.

SOCIAL MEDIA DATA
This data consists of information about the content uploaded by users on different social media platforms. For example, photos, videos, views, status, etc.

STOCK EXCHANGE DATA
These data consist of information on the stock market. Information about sales, purchases, stocks, etc.

ELECTRICAL NETWORK DATA
This data consists of information about the data that a particular node has. A base station is also considered here. The frameworks in which the data analysis is processed operate primarily on the distributed file system.

TRANSPORTATION DATA
These data consist of information on transport vehicles. Stores vehicle availability, model number, distance, etc.

SEARCHING ENGINE DATA
This data consists of information about the elements that people frequently search in different search engines.

TECHNOLOGIES AND DATA ANALYSIS
The course for data analytics technologies associated with data analysis are advantageous for accurate data analysis. This accurate analysis of data analysis is beneficial in making more accurate and powerful decisions. The best decisions have many benefits. For example, reduced costs, efficient returns, and reduced business risk.

Data analysis is very powerful if used correctly. For this, the user must have frameworks capable of processing different forms of data safely. Many data analysis technologies are provided by different companies around the world. For example, IBM, Amazon, Microsoft, etc.

Data analysis technologies consist of the following two types of data analysis
Analysis of operational data.
Analytical data analysis.

CONCLUSION
Data is currently the most powerful weapon. Many online courses are available for data analysis. Students will learn about the different data analysis frameworks. Students can take advantage of different course of data analytics and data analysis certification.


Address: 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral,, Jalan Stesen Sentral 5,, KL Sentral,KL Sentral 50470 Kuala Lumpur, Malaysia
phone no: 011-3799 1378
For more Knowledge, we provide the blogs like:
difference between analysis and analytics
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Location: Level 16, 1, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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