Sql + any sql client would be my vote. Answer from Firm_Bit on reddit.com
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.
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 ...
Videos
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Here are the Top AI Tools for Research Data Analysis - YouTube
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Top 5 Data Analyst Tools to Master in 2025 - YouTube
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The Best Data Analytics Tools for 2025: What to Learn Now - YouTube
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AI For Data Analysis In 21 Minutes - YouTube
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3 Best Ai tools For Data Analysis in Research (Start with FREE) ...
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
August 22, 2023 - 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 ...
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.
Thechicagoschool
library.thechicagoschool.edu › qualitative › tools
Data Analysis Tools - Qualitative Research Methods - The Chicago School Library at TCS Education System
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 ...
Georgetown University
guides.library.georgetown.edu › c.php
Quantitative Analysis Tools - Data Analysis - Guides at Georgetown University
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, or if you have familiarity with SQL.
DASCA
dasca.org › world-of-data-science › article › how-to-choose-the-perfect-data-analysis-tool-a-step-by-step-guide
How to Choose the Perfect Data Analysis Tool: A Step-by-Step Guide
Learn about top data analysis tools like Excel, Hadoop, and more. Find the right tool for your data needs and analysis goals.
Stitch
stitchdata.com › resources › data-analysis-tools
Top 24 tools for data analysis and how to decide between them | Stitch
If you want to use one that doesn't, you'll have to use SQL or a tool like dbt to model your data prior to analysis. Finally, consider price and licensing. Some offerings are free, while others charge licensing or subscription fees. The most expensive tools are not necessarily the most feature-complete, and users should not ignore the many robust free solutions available. Try Stitch to get data for your favorite analytics tool today ... Now that you know what factors to look for in a data analysis tool, let's jump into the list.
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IxDF
interaction-design.org › literature › article › data-analysis-techniques
Data Analysis: Techniques, Tools, and Processes | IxDF
November 10, 2023 - 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...
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
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.
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 ...
Analysis Tools
nagt.org › nagt › geoedresearch › toolbox › analysis_tools › index.html
Analysis Tools
February 29, 2024 - The Analytical Tool collection includes examples in these areas, as well as special types of analytical tool used for data specific applications and data visualizations. Quantitative and Qualitative methods both use deductive, inductive, and adductive processes to understand a process or phenomenon, just in different ways using different data. Quantitative analysis uses numerical data to identify statistical relationships between variables.
Oxford University
libguides.bodleian.ox.ac.uk › ssdata › analysis
Data analysis tools & training - Data and Statistics for Social Sciences - Oxford LibGuides at Oxford University
There is a whole range of software ... such as SPSS, Stata and R for statistical analysis of quantitative data, Nvivo for qualitative (textual and audio-visual) data analysis (QDA), or ArcGIS for analysing geospatial data...
PW Skills
pwskills.com › blog › data analytics › data analysis techniques in research – methods, tools & examples
Data Analysis Techniques In Research - Methods, Tools & Examples
November 4, 2025 - Not only does it cover all the fundamentals of data analysis, but it also provides hands-on experience with various tools such as Excel, Python, and Tableau. Plus, if you use the “READER” coupon code at checkout, you can get a special discount ...
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!
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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.
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.
Secoda
secoda.co › glossary › data-analysis-tools
What are Data Analysis Tools? - Explanation & Examples | Secoda
This can include summarization, aggregation, filtering, and transformation. The goal is to make the data more manageable and suitable for detailed analysis. The core function of data analysis tools is to apply various statistical, mathematical, ...
All of Us Research Hub
researchallofus.org › data-tools
Data & Tools – All of Us Research Hub
This is because we use different data curation methods for each tool to protect participant privacy. ... The Researcher Workbench provides tools to enable powerful analysis of data from All of Us participants. Registered researchers can conduct multiple research projects simultaneously and collaborate within and across teams. ... This tool provides source information ...
Hackr
hackr.io › blog › what-is-data-analysis-methods-techniques-tools
What is Data Analysis? Methods, Techniques & Tools
It is also called a descriptive analysis. It includes various tools to perform statistical data analysis such as SAS (Statistical Analysis System), SPSS (Statistical Package for the Social Sciences), Stat soft, and more.
University of Niagara Falls Canada
unfc.ca › blog › data-analytics-tools
Top Data Analytics Tools Every Data Analyst Should Master | UNF
Apache Spark and Hadoop are two open-source frameworks and are designed to process and analyze massive datasets that traditional tools cannot handle. Apache Spark provides fast, distributed computing capabilities for big data processing, while ...