May 18, 2022
  • May 18, 2022

Top 7 statistical software to learn for data analysis in research

By on November 27, 2021 0


Data analysis is the process of processing data to organize it appropriately, interpret it, present it and draw conclusions. It is performed in order to extract relevant information from certain data in order to make sound judgments. To perform data analysis in the most feasible way, the individual responsibly uses tools that provide the best results.

While there are several options available, data analysts need to choose wisely to maximize the value of their analytical work. That being said, this article will discuss the best data analysis tools and highlight their essential characteristics for different types of analysis procedures.

Why is data analysis essential for research?

This is especially essential if people want to gain in-depth insight into the business, manage huge amounts of data, or predict future events and possible scenarios based on various factors.

Many sectors, including health, research-based development and higher education, depending on statistical analysis tools.

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From detecting historical patterns, predicting future trends, and organizing research, to analyzing millions of health-related data to save lives, the right software empowers professionals to make sense of data and turn it into something useful.

If making sense of data becomes difficult, or if there are many data points, simple spreadsheets and tools will not suffice. Rather than that, analyzers should invest in statistical analysis software.

Best statistical software required for data analysis

Here is the best statistical software that is available for users and provides the best results. All prices shown are converted to USD at a conversion rate of 1 USD = 85.81 BDT:

IBM SPSS

Because of its very user-friendly design, IBM SPSS is a widely used statistical tool. According to IBM’s official website, around 81% of reviewers rated SPSS as easy to use, making it a great option for newbies.

However, don’t be fooled by its beginner friendliness; it packs a lot of oomph and it’s a fantastic game for the pros as well.

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Basically, it enables users to analyze and make sense of data in order to make data-driven choices, identify new possibilities, predict future trends, and increase productivity.

Additionally, users can combine and combine dozens of different SPSS products simply to create statistical analysis software tailored to their business, research project, and institution.

IBM’s most popular statistical analysis modules are priced as follows:

SPSS Statistics Package – BDT 8495 monthly for each user

SPSS Modeler Pack – BDT 42817 monthly for one user

Both choices come with a 30-day free trial to see if the product is a good fit for a review team before purchasing it.

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Minitab

Minitab is one of the best online statistical tools, but it’s especially affordable for universities and academic organizations. Today, it is used by more than 4,000 educational institutions around the world to produce and analyze data.

Students, faculty, and institutions can rent multiple Minitab modules, including Express, Statistical, and Workspace, for significant savings. It allows users to quickly discover patterns and hidden correlations between variables in current and historical data.

As a result, students graduate with the ability to make data-driven choices and identify patterns they otherwise would not have discovered. It is a win-win condition for students and potential employers.

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Minitab offers a free 30-day trial period during which customers can choose between a single-user license and a multi-user license with significant rent reductions for students, teachers, and educational institutions.

Single-user license – BDT 141 751 per year per unit

License for multiple users – Price on request

Discounts are not listed on the website, so you will need to contact Minitab’s sales team for more information.

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State

Stata is a comprehensive statistical solution for data scientists working in many disciplines, including medicine, economics, finance, behavioral sciences, and marketing. It is well suited to manipulate data, explore it, visualize it and perform statistical analysis.

The software has a graphical user interface (UI) and a command line interface, making it accessible to users with and without programming skills.

There are four packages for Stata, and prices are decided by license type, which includes one or more users and a site license and varies depending on the plan selected.

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SAS / STAT

Whether it’s a large or small dataset, SAS / STAT provides comprehensive and scalable business intelligence tools to help you make smarter choices.

In addition, the organization has over 40 years of expertise in creating statistical analysis tools for businesses. As a result, users can be confident that they are dealing with a team of seasoned specialists who truly understand their business.

JMP

While SAS is capable of performing all types of statistical analysis, JMP largely focuses on targeted consumer segmentation and market research. It is a hyper-targeted service that enables marketers, data engineers, and decision makers to learn about their target audiences through data analytics.

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Basically, JMP enables people to process, analyze and display market data more effectively and efficiently, giving them an edge over the competition.

MATLAB

MatLab is a widely used analytical platform and programming language for engineers and scientists. As with R, the learning curve is severe and users will eventually be prompted to write code. Additionally, a plethora of toolkits are available to help people answer research questions. While MatLab can be difficult for beginners, it offers enormous freedom in terms of what users can achieve – as long as they can write it.

GraphPad Prism

Graphpad Prism is a data analysis and statistics application designed specifically for use in scientific research. It has a comprehensive set of statistical functions and is used by scientists in a wide variety of industries, including life sciences, healthcare, biotechnology and pharmaceuticals, as well as technology, automotive and telecommunications.

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Although it is designed for scientific fields, it does not require any programming experience to produce a wide range of data visualizations. Prism helps users work smarter by simplifying curve fitting and automating tasks with features like one-click regression analysis.

Conclusion

Choosing the best statistical analysis software will vary depending on the type of data you are analyzing and the features you desire. Plus, you need to have the technical expertise and motivation to get the most out of your data.

This guide will help people determine the best software for your statistical analysis requirements, and you’re sure to find the right one for your organization here.

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