Data analysis is the most critical step in research. It turns the raw data into useful insights and meaningful scientific problems for data-driven industry or academic research. The data analysis is a lengthy process, and often the accuracy of the results remains in doubt. With the advent of technology, today’s researchers can perform all such analysis by using several online tools. Software for data analysis is not only user-friendly, but if commanded accurately, the chances of results’ falsification are also low.
Moreover, the selection of the most appropriate software from tons of related ones is no doubt a difficult task. Thus, in this article, we will first discuss a few tools that can share your data analysis workload. Then, we will discuss the best tool that you can install today for providing more detailed insights into a situation. In the end, we will discuss the role of Excel as a data analysis tool.
Which Software Is Used For Data Analysis?
The tools or applications that help a data analyst in achieving excellence in the shortest possible time are increasing as fast as the need for research in this ever-changing world. Thus, the following is a list of the most useful software for data analysis. This list is shared by expert PhD dissertation helpers and will help a researcher/ data analyst know which software she/he must learn to get the most useful insights into a given situation.
Whenever it comes to academic research or the statistical data analysis process, no one can forget to mention the role of SPSS. It is the short form of the Statistical Package for the Social Sciences. In social sciences, SPSS is the most sought-after software for data analysis as it is easy to use, and the English-like command language helps users in understating its core features shortly. Apart from all, it also helps in sorting data for market research, educational core, data miners, market organisations, and government agencies. Its core features include four programs that help researchers in analysing even the most complex project in their field. The statistical program, Modeler program, Text analytics and Visualisation designer are the features that make SPSS one of the favourites tool for social sciences research.
SAS is a pro in the world of Data Analytics. Around the world, it allows us to transform data into intelligence. It is versatile and easy to use. SAS adds a tone of new modules with the time that fascinates its users to stay tuned. For example, in the remote past, SAS has added SAS analytics for loT, SAS Analytics Pro for Midsize Business and SAS Anti-money Laundering.
Whether you are a business analyst, data scientist or forecaster, the SAS empowers you to analyse, visualise and explore data. You can take a free trial of SAS to know how powerful its algorithms are. Moreover, the request demo and pricing can help you even use its locked features at an affordable price.
It is another popular software for data analysis. Minitab as a computer application is an accurate, fast and reliable tool to unveil the hidden patterns behind your randomly collected data. Drawing graphs by hand at Minitab fascinates millions of users throughout the world. Another reason why Minitab is very popular among students is that its results are acceptable and easy to move to other files. Thus, the visualisation and interpretation of data entered into the Minitab worksheet are easy to understand and are more predictable.
What Is The Best Tool For Data Analysis?
Generally, finding the best software for data analysis is almost near to impossible. Every data analyst’s objectives for using a tool and purpose of research are different. Not all academic researches end with similar findings; thus, how can we declare a single tool as a solution for all types of analysis problems? It is the individual research objectives, previous experiences, the interest of researchers and expertise in using software that decides which one will be the best for you. Still, there are a few tools for data analysis that can work well in almost every type of research like R and Python. Remember, if you find any software producing inaccurate and less reliable results, you can stop using it as one should never compromise on the authenticity of findings.
R is an open-source programming language tool. It allows data mining and analysis activities. This software for data analysis offers many packages that help users in customising the analysis activities at R.
This software for data analysis is also a programming language type and open source with thousands of free libraries. You can use it for performing any activity, from data scraping to data reporting.
Is Excel A Data Analysis Tool?
As a most frequently asked question, it is important to talk about the role of Excel in data analysis. Excel Spreadsheets have been helping researchers for around 30 years, and it is still valuable. The original theme of sorting and saving data on an excel spreadsheet is reserved as past. But the new capabilities of data entry and analysis features of excel make today’s version much better.
It is true that nowadays, there are many tools that even work better than excel, but sill for knowing basic concepts of the analytical process, it is the best one. In many complex projects, excel may seem like a misfit. But due to its affordability and reliability, people still prefer excel as software for data analysis. In conclusion, this software has more than 300 formulas that help researchers in getting results faster. Thus, we can say, yes, excel is software for data analysis but not a solution to every research problem.
Data analysis is an integral part of the research. Without performing this, we cannot conclude finding and predict further research perspectives. Software for data analysis is a good option for those who dream of getting accurate results faster. These tools surely work well for improving the data analysis product but remember, it is not always a complete solution for all problems.