Claudia, I understand your question very well,
there are several tools for data analysis, among which some for those who have no notion of programming are JASP, JAMOVI (I prefer the latter). and that also depend on the amount of data with which you work. Big data Phyton or R studio Server, low scale data quantity without doubt R. Answer from Carlos Jimenez-Gallardo on researchgate.net
ASQ
asq.org › quality-resources › data-collection-analysis-tools
What are Data Collection & Analysis Tools? | ASQ
Data collection and analysis tools, like control charts, histograms, and scatter diagrams, help quality professionals collect and analyze data. Learn more at ASQ.org.
Thechicagoschool
library.thechicagoschool.edu › qualitative › tools
Data Analysis Tools - Qualitative Research Methods - The Chicago School Library at TCS Education System
2 weeks ago - QCoder - R package with some point-and-click options (must install R first). Best for those already using R for quantitative needs and desiring some mixed methods options. Excel or Google Sheets or Calc - Any spreadsheet program can do basic code and retrieve using the filter and pivot table ...
Data analysis: Which (free) tool or software do you use for statistical data analysis?
Can you share which one is most common in molecular biology? ... there are several tools for data analysis, among which some for those who have no notion of programming are JASP, JAMOVI (I prefer the latter). and that also depend on the amount of data with which you work. Big data Phyton or R studio Server, low scale data quantity without doubt R. ... Join ResearchGate ... More on researchgate.net
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December 10, 2023Which tool for quantitative data analysis?
I'd recommend two approaches depending upon your need. The first is an "all-out" approach and is for when analysing quantitative data is a regular and large part of your work. If that's so, Excel is fine to mention but also learn R or Python (with NumPy, Pandas, etc). This is the heavyweight version. The lighter weight one (and it also assumes that you've used something like SPSS) is to get "jamovi" (a free/open source program with a much nicer GUI and can be surprisingly powerful - I've done multivariate multiple regressions, power analysis and psychometrics on it) or a free version of SPSS like PSPP. This would be if your quantitative needs are lighter than the first. It's probably easier to learn than R or Python. I'd definitely mention TypeForm and Excel (companies are being very particular these days) but it helps if you mention the above. I'd also be tempted to briefly explain what jamovi is, something like "Jamovi (based on R)" because not many have heard of it plus "R" is mentioned. My background: I used to lecture statistics up to postgrad level and been doing "quant" analysis for over 2 decades now. More on reddit.com
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March 11, 2025Best tools/platforms for data analysis and statistics?
JASP is an open source statistical package similar to SPSS but without the $$$$. It works with Python as well. More on reddit.com
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May 19, 2025What tools do you use/prefer for data analysis?
Sql + any sql client would be my vote. More on reddit.com
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April 12, 2023Do I need coding skills to use Julius AI?
No, Julius AI requires no coding skills. You can analyze data through natural language conversations in our chat interface.
julius.ai
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What is Julius AI?
Julius AI is an AI-powered data analysis tool that turns complex data analysis into simple conversations. Upload files, connect databases, and get instant visualizations without coding.
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Julius AI: Chat with Your Data Using AI
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Georgetown University
guides.library.georgetown.edu › c.php
Quantitative Analysis Tools - Data Analysis - Research - Guides
October 1, 2025 - Faculty can request a free SPSS License for research and teaching via the UIS webstore. ... SAS is a proprietary statistics software suite that can be used for data analysis, data management, and artificial intelligence. SAS may be a good tool for you if you are working with very large datasets, ...
iSchool
ischool.syracuse.edu › home › articles
Top 15 Data Analytics Tools You Should Be Using in 2025
October 30, 2025 - It is similar to Python in that ... for statistical analysis and is often preferred in academic and research settings. R includes ready-made features that make it easier to work with organized tables of data, carry out advanced types of analysis, and create summaries that explain the results. Project Jupyter is a tool that functions ...
MAXQDA
maxqda.com › home
MAXQDA Official Site | All-In-One Tool for Qualitative Data Analysis
September 14, 2009 - MAXQDA is a professional QDA software for mixed methods and qualitative data analysis to easily analyze, code and present your data.
Couchbase
couchbase.com › home › what is data analysis? (types, methods, and tools)
What Is Data Analysis? Types, Methods, and Tools for Research
June 4, 2025 - Clean and preprocess the data by handling missing values, duplicates, and formatting issues. Explore the data using descriptive statistics and visualizations to identify patterns, outliers, and relationships. Apply Analysis Techniques: Choose the appropriate analysis techniques based on your data and research question. Apply statistical methods, machine learning algorithms, and other analytical tools to derive insights and answer your research question.
LOC
guides.loc.gov › datasets › analysis-tools
Data Analysis Tools - Datasets at the Library of Congress: A Research Guide - Research Guides at Library of Congress
1 week ago - The R community has developed several open-source packages that are useful for both general and domain-specific data analysis procedures. OpenRefine External – OpenRefine is a free, open source tool that assists with data cleaning and transformation (aka data wrangling). DMPTool &ndash External The DMPTool (Data Management Plan Tool) assists with creating a data management plan, according to funder specifications or generalized guidelines. A data management plan documents all activity surrounding the collection and preservation of research data.
Top answer 1 of 13
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Claudia, I understand your question very well,
there are several tools for data analysis, among which some for those who have no notion of programming are JASP, JAMOVI (I prefer the latter). and that also depend on the amount of data with which you work. Big data Phyton or R studio Server, low scale data quantity without doubt R.
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Hi Claudia!
I do not know about molecular biology being the application, but I would say that R is probably one of the software that is the most used for statistical analysis in general (https://www.r-project.org/), so it should do.
Keeping in mind the open-source/free aspect, you also have the libraries available in Python, and I also heard of Scilab although I am not very familiar with this one.
Good luck!
Julius AI
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Julius AI: Chat with Your Data Using AI
1 week ago - Analyze data instantly with Julius AI — your AI-powered data analyst. Turn spreadsheets into charts, forecasts, and insights in seconds. No code needed.
IxDF
interaction-design.org › literature › article › data-analysis-techniques
Data Analysis: Techniques, Tools, and Processes | IxDF
3 weeks ago - Explore this comprehensive video ... user research data analysis process: ... The world’s best and most user-friendly spreadsheet software features calculations and graphing functions—and it’s ideal for non-techies to perform basic data analysis and create charts and reports. No coding is required. User-friendly interface. Runs slow with complex data analysis. Less automation compared to specialized tools...
Reddit
reddit.com › r/uxresearch › which tool for quantitative data analysis?
r/UXResearch on Reddit: Which tool for quantitative data analysis?
March 11, 2025 -
Hi,
I am getting ready for a job interview. The job description mentions both qualitative and quantitative data analysis. Regarding quantitative data, which is mostly collected through surveys, do you use specific tools? I have always used Typeform (from crafting to results) and Excel when the data sets were a bit complex and required further analysis. Do you think I'd sound dumb if I mentioned these two? Do you use different tools or have any recommendations?
Thank you!
Top answer 1 of 8
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I'd recommend two approaches depending upon your need. The first is an "all-out" approach and is for when analysing quantitative data is a regular and large part of your work. If that's so, Excel is fine to mention but also learn R or Python (with NumPy, Pandas, etc). This is the heavyweight version. The lighter weight one (and it also assumes that you've used something like SPSS) is to get "jamovi" (a free/open source program with a much nicer GUI and can be surprisingly powerful - I've done multivariate multiple regressions, power analysis and psychometrics on it) or a free version of SPSS like PSPP. This would be if your quantitative needs are lighter than the first. It's probably easier to learn than R or Python. I'd definitely mention TypeForm and Excel (companies are being very particular these days) but it helps if you mention the above. I'd also be tempted to briefly explain what jamovi is, something like "Jamovi (based on R)" because not many have heard of it plus "R" is mentioned. My background: I used to lecture statistics up to postgrad level and been doing "quant" analysis for over 2 decades now.
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Just in my opinion, a ton of quant research can be done with Excel. If you're a power user, don't be too daunted. But maybe express willingness to pick up another tool to do heavier analysis if needed.
Reddit
reddit.com › r/research › best tools/platforms for data analysis and statistics?
r/research on Reddit: Best tools/platforms for data analysis and statistics?
May 19, 2025 -
Hello! I am an undergrad trying to do some basic statistics for my research project. So far I've just been writing python scripts and running them in Spyder and Jupyter notebook but I am very bad at coding (ChatGPT is helping me a lot with generating those) and was wondering if there is another platform with an easier to use interface. i think in research a lot of people use Stata? if there are other AI powered platforms I am also not opposed to that. My only help is my PI, but he is very busy and I don't want to bother him with this sort of small question so thanks everyone!
Top answer 1 of 2
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JASP is an open source statistical package similar to SPSS but without the $$$$. It works with Python as well.
2 of 2
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I am using basically a google analytics alternative called prettyinsights because im in the EU and need to have GDPR and privacy, and also cant allow ga4 to create cookies, so thats why im using that option.
Reddit
reddit.com › r/dataengineering › what tools do you use/prefer for data analysis?
r/dataengineering on Reddit: What tools do you use/prefer for data analysis?
April 12, 2023 -
I'd like to get an idea of what the popular tools are for data analysis. If you use or like a tool not on the list please provide a comment and why.
For some context, I work at a small engineering firm. We have a mix of technical engineers that would be open to more modern tools like Jupyter, but also have a number of engineers that will take Excel to the grave unless convinced otherwise (mostly because they know it). I'm trying to find a tool that can provide an modern alternative to Excel for number crunching / visualizations and is more inviting than local notebooks but not limiting to the more technical staff.
I put Databricks on here because I know its a popular platform, but wonder if it is a little overkill for the volume of data (gigabytes) we are analyzing at the moment. Also, I feel Databricks/Spark adds more complexity (if my assumption is wrong, please correct)
Also, project collaboration and integration with central resources would be a big plus.
Litmaps
litmaps.com › articles › data-analysis-methods-in-research
Data analysis methods in research: A comprehensive guide
By selecting the right techniques—such as regression for hypothesis testing, thematic analysis for narratives, or meta-analysis for synthesizing studies—researchers can derive meaningful insights. Using tools like SPSS, R, or NVivo enhances ...
Libguides
law.upenn.libguides.com › data › tools
Data Analysis Tools - Data Analysis for Legal Scholarship - LibGuides at University of Pennsylvania Law School
December 23, 2024 - The Tableau Public Resources page has tutorials to connect your data (in various formats), as well as to create dashboards, stories, and other visualizations. ... Tags: data, data analysis, data analysis tools, data visualization, empirical legal research, qualitative research methods, quantitative research methods, statistics
Virginia Tech
guides.lib.vt.edu › c.php
Analytical tools & quantitative skills - History - Research Guides at Virginia Tech
6 days ago - Begin analysis by creating/logging into a ... Tutorials include videos about conducting analyses and text instructions for formatting and publishing datasets in SuAVE. ... Popular, free application for data visualization. Requires download and installation on your own computer.
Coursera
coursera.org › coursera articles › data › data analytics › 15 data analysis tools and when to use them
15 Data Analysis Tools and When to Use Them | Coursera
November 13, 2025 - This software is suited for people ... across industries for various applications such as manufacturing, life sciences, energy, and health care. Because of its ability to work with previously mined data, this software can be particularly useful if you are a researcher or data scientist working with historical data. Read more: Classification vs Clustering: What You Should Know ... Orange is a package renowned for data visualization and analysis, especially ...
Stitch
stitchdata.com › resources › data-analysis-tools
Top 24 tools for data analysis and how to decide between them | Stitch
SAP BusinessObjects provides a suite of business intelligence applications for data discovery, analysis, and reporting. The tools are aimed at less technical business users, but they're also capable of performing complex analysis. BusinessObjects integrates with Microsoft Office products, allowing business analysts to quickly go back and forth between applications such as Excel and BusinessObjects reports.
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Splunk
splunk.com › en_us › blog › learn › data-analysis-tools.html
12 Must-Have Data Analysis Tools for 2026 | Python, SQL & AI | Splunk
Discover the 12 must-have data analysis tools for 2026. Compare options for Python, SQL, and AI to boost productivity, insights, and automation.
IConnect
iconnect.isenberg.umass.edu › blog › 2024 › 10 › 11 › 7-top-data-analytics-tools-every-data-analyst-should-master
7 Top Data Analytics Tools Every Data Analyst Should Master – IConnect | Isenberg School of Management
March 5, 2025 - SQL Server Integration Services (SSIS) is an Extract, Transform, and Load (ETL) tool used to extract data from sources like Excel, Hadoop, and SQL databases. Analysts rely on the tool to design workflows, perform data integration tasks, and automate data extraction needed for different analysis projects.