Data analysis is widely used for a variety of purposes. It is recognized worldwide and produces a good workload rate because the workload it performs still contains a large amount of data. For this reason, data analysis has become popular. Not recognized at all recently. Data analysis is a data analysis technique to improve efficiency and increase business benefits. This technique aims to extract the raw data and analysis to obtain the final information.
Data analysis plays an important role in the growth of a company because it provides useful information for an organization to increase its performance. Provides objective information related to the business. The first step is to collect the hidden information. The information collected is then analyzed in accordance with business policies and regulations. The required data is then extracted for commercial purposes. Reports are also prepared using the collected data that is transferred to the organization’s departments or teams that are responsible for the company’s performance.
The data analysis course in Malaysia is also useful in market analysis. Conduct market analysis of competitors and prepare a SWOT analysis report. In this way, you can know what your business is compared to your competitors in the market. It also helps a company to communicate with its customers. Data analysis provides the necessary information and helps improve the relationship between the company and customers.
Tools used in analytics
There are many programming languages or tools that can be listed in data analysis. Some of them will be discussed here. They all offer their own features that almost all large organizations already use. All of these tools are easy to use and easily accessible. You will know all the details if you search for them on Google.
Have you heard of R programming? It is a very famous tool that is used as a statistical tool and is also useful for data modeling. This program runs and compiles on various software platforms such as Windows, Mac OS, and UNIX. This tool can be installed according to user needs and is automatically updated.
The second is python, which is an object-oriented programming language. It is a very easy to use language that helps you maintain processes correctly. It also covers the category of artificial intelligence and machine learning. Python can be installed and assembled on SQL servers and run on other databases. There is also a free software called Tableau Public. You can communicate with Excel and other data warehouses, and you can develop timely data updates. QlikView is an intelligence-based data analysis tool that helps extract and visualize data. Statistical analysis software, known as SAS, is used for data storage, retrieval, and analysis. It also performs data manipulation and generates statistical results and reports.
One of the most widely used tools for data analysis in Microsoft Excel. It has many features like performing calculations, generating graphs, summarizing data, and representing pivot tables. There is also another built-in program called Visual Basic that allows you to run macros. There are also many other tools related to data analysis, which have functions similar to those of a previously mentioned tool.
You would have had an idea of what data analysis is and the type of tools used for this from 360DigiTMG. If you work in science, engineering, or administration and want to examine any kind of data, you can take the data analysis course. Professionals and experts agree that it is a well-paid job. If you are the type of person who is interested in programming tools and is passionate about learning data analysis in Malaysia, you should definitely enroll in data analysis courses in Malaysia. There are so many opportunities for the data analyst in Malaysia.
Address: 360DigiTMG – data analytics, 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