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D-Lab offers consulting services on research design, data analysis, data management, and related techniques and technologies. We welcome inquiries from Berkeley faculty, staff, postdocs, and grad students at all levels of expertise. Our standard consulting services are free of charge. In general, we provide consulting for you at your research stage, NOT for coursework. Please use your TAs for support specific to individual classes or assignments.  


To submit a request to meet with a D-Lab consultant:

  • Use the descriptions below to select the consultant whose areas of expertise seem to best meet your needs. Then click on their By Appointment link to submit your request. Note, you must be logged-in to submit a consult request.
  • Please do not submit the same request to multiple consultants at the same time.
  • Include in your request a brief description of your project, your data and your current stage in the research process. 

Submit a NEW request for all consultations, even if you have corresponded directly with a consultant before.  This includes the additional request and all subsequent meeting requests.


Other campus consulting resources are listed at the bottom of this page

text analysis, natural language processing, Machine learning, Python
Python, R, C#, Data Analysis, natural language processing, Software Engineering
digital humanities, scanning & OCR, network analysis, geospatial analysis
natural language processing, text analysis, Python
Excel, R, geospatial analysis in R/Python, Topic modeling
R, data visualization, ggplot2
nVivo, Dedoose, Excel, Qualitative Methods, survey and interview guide design, evaluation design
Python, GIS, data visualization
Stata, LaTEX, Open Data Kit/SurveyCTO, Data Cleaning, field research
Cloud, HPC (high performance computing), JupyterHub, BinderHub, databases, SQL, Python
Python (Pandas, Numpy, Scikit-learn), Data Visualization (Tableau, Matplotlib), SQL
Excel, Python, Visual Basic, Data Cleaning, Data Management, data visualization
R, Python, Data Cleaning, visualization, text analysis
Qualtrics, MTurk, Stata, surveys, experimental design, Dataset building/cleaning
Geospatial data and analysis, web mapping, geocoding, postgis, R spatial packages, ArcGIS, QGIS
Python, R, Machine learning, NLP, time series and speech data
Spatial analysis, statistical modeling, simulation modeling, data munging, databasing, Python, R, Bash, SQL, Matlab, Julia, LaTEX
Survey Design, research design, R, Stata, nVivo, Dedoose, Qualitative Methods, mixed methods
Tableau, SQL, PowerBI, Business Intelligence, Data Analytics
Stata, Qualtrics
Research Data Management
Python, cybersecurity
Python, R, visualization, Machine learning, natural language processing, computer vision, TensorFlow, Keras, PyTorch, Amazon Web Services, Google Cloud, Excel, SQL
Stata, Methodologies/Approaches
statistical modeling, causal inference, regression analysis, Machine learning, R, Python, Git, GitHub, LaTEX
Python, Data Scraping/Cleaning, Machine learning, NLP, web development, SQL
Python, Google Earth Engine, Geospatial data and analysis, Stata, Excel
Requests for Data Peers Consulting Only**
R, Stata, Markdown, randomized control trials, quasi-experimental designs
R, Python, GIS, Machine learning
Survey Design, experimental design, Data Cleaning, data visualization, R, Stata, SAS, Qualtrics
Copyright, Intellectual Property, Licenses, Licensing, Publishing, Scholarship
R, hierarchical models, dyadic data analysis, experimental design, MTurk, Qualtrics
Methodologies/Approaches, digital humanities, qualitative analysis, Professional Development, Pedagogy
R, Applied econometrics, applied machine learning, digital marketing, computational social psychology
R, Python, LaTEX, Dataset building/cleaning, data visualization, text analysis, and machine learning. Please contact me if you are interested in writing more efficient code!
Cloud (Amazon Web Services, Google), Data Engineering (Cleaning, databases, SQL), digital humanities, GitHub, HPC (high performance computing), Machine learning, natural language processing, Python, pandas, Numpy, scikit-learn