Search
William A.'s Photo

MSc & PhD-Level Statistics Tutor| Real-World Data Analysis
William A.

Your first lesson is backed by our Good Fit Guarantee
Hourly Rate: $50
Contact William
Response time: 2 minutes

About William

Bio

Hello. This is William!

I hold a BS in Applied Mathematics from Loyola University, an MSc in Mathematics from Chicago State University, and additional graduate study in Applied and Computational Mathematics from Caltech. This combination gave me a strong foundation in both theoretical and applied statistics, which I have carried into the classroom and into my professional work ever since.

My teaching experience centers on Statistics for Psychology, Quantitative Techniques, and...

Hello. This is William!

I hold a BS in Applied Mathematics from Loyola University, an MSc in Mathematics from Chicago State University, and additional graduate study in Applied and Computational Mathematics from Caltech. This combination gave me a strong foundation in both theoretical and applied statistics, which I have carried into the classroom and into my professional work ever since.

My teaching experience centers on Statistics for Psychology, Quantitative Techniques, and Statistical Inference, where I have worked with undergraduate and graduate students on concepts like hypothesis testing, ANOVA, regression, and experimental design. I have taught in both classroom and one-on-one settings, and I always start by meeting students where they are. Many people come into statistics feeling anxious about the math, so I focus on building intuition first, often through real-world examples, before introducing formulas and software.

Outside of teaching, I have spent several years working in consultancy roles, using tools like R, SPSS, Excel, Tableau, and Power BI to analyze real datasets and help organizations solve everyday problems, from program evaluation to business decision-making. This hands-on experience lets me connect classroom statistics to how it is actually used in research and industry, which often helps concepts click for students. Whether you are working through an introductory stats course, preparing for a dissertation, or trying to make sense of a data analysis assignment, I aim to break things down clearly and build your confidence step by step.

Read more

Education

Loyola University Chicago
Applied Mathematics
Chicago State University
Masters
Caltech
PhD
  • Licensed teacher

Policies

Schedule

Loading...

Sun

Mon

Tue

Wed

Thu

Fri

Sat

William hasn’t set a schedule.

We’re having trouble loading this schedule right now. Please try again later.

Approved Subjects

Business

Business

My graduate coursework and consulting work have both required a strong grounding in core business concepts, including operations management, decision analysis, forecasting, and organizational strategy, which I have applied in client-facing projects across multiple industries. At the graduate level, I completed coursework in business analytics and managerial decision-making that covered topics such as linear programming for resource allocation, simulation modeling for risk assessment, and cost-benefit frameworks used in real business planning contexts. I have tutored students in undergraduate and MBA-level business courses, helping them work through case studies, quantitative assignments, and written analyses that required both conceptual understanding and practical problem-solving. Many of the students I work with are stronger on the strategic side than the analytical side, so I tend to focus on bridging that gap by grounding the numbers in the business problem they are actually trying to solve.
Data Analysis

Data Analysis

My MS in Advanced Data Analytics from the University of North Texas was focused specifically on applied data analysis, covering topics such as predictive modeling, data mining, text analytics, and visual analytics in a program designed around solving real analytical problems rather than statistical theory alone. In consulting projects I have taken datasets from initial scoping all the way through exploratory analysis, feature engineering, model building, and stakeholder-facing reporting, working across structured and unstructured data sources depending on the problem. I have tutored students in data analysis courses at the undergraduate and graduate level, including capstone and applied project courses where the deliverable was a complete end-to-end analysis rather than a single assignment, covering everything from data acquisition and cleaning through interpretation and presentation. Because data analysis as a subject sits between statistics and software, I pay particular attention to helping students develop judgment about when an analysis is trustworthy and how to communicate uncertainty honestly alongside their findings.
Essay Writing

Essay Writing

Throughout my doctoral training at Stanford, writing was as central to the work as the quantitative methods, and I produced a substantial body of academic writing including research proposals, literature reviews, manuscript drafts, and a dissertation that required making complex statistical arguments accessible to committee members across different areas of expertise. I have tutored students specifically on essay writing in contexts ranging from undergraduate analytical papers and graduate research writing to competitive scholarship essays and personal statements, where the stakes of word choice and argument structure are considerably higher than in a typical course assignment. One area where I have developed particular depth is helping students whose first language is not English produce writing that reads naturally and argues clearly, since that requires working at both the sentence level and the structural level simultaneously. My approach with most essay students is to treat the draft as a thinking problem before treating it as a writing problem, because in my experience a weak essay almost always reflects an argument that has not been fully resolved rather than prose that simply needs polishing.
MBA

MBA

MBA programs cover a broad range of functional areas, and my tutoring experience with MBA students has spanned courses in corporate finance, managerial accounting, organizational behavior, and marketing strategy alongside the more quantitative courses in operations and analytics that align closely with my own graduate training. I have helped MBA students work through financial modeling concepts including net present value, internal rate of return, and discounted cash flow analysis, which require a level of numerical fluency that many students find challenging when encountered for the first time in a fast-moving program. I am also familiar with the case-based pedagogy that many MBA programs rely on, having worked with students through Harvard Business School-style case analyses where the task is to synthesize qualitative and quantitative information into a defensible recommendation under time pressure. Beyond coursework, I have supported MBA students with admissions essays and program application materials, where the writing requires a careful balance between professional accomplishment and genuine personal narrative.
Microsoft Excel

Microsoft Excel

One of the more common tools I have worked with across consulting projects is Excel, particularly for building analyst-ready datasets and summary reports when more specialized software was not available or practical for the client. I have worked extensively with PivotTables, INDEX-MATCH, SUMIFS, Analytic Solver, and array formulas to handle multi-layered data problems, and I have built regression models and run hypothesis tests using the Data Analysis ToolPak in contexts where a client needed interpretable output without learning R or Python. On the tutoring side, I have helped students work through Excel-based statistics assignments in business and social science courses, including one-on-one sessions where we used real IRS and survey datasets to practice functions, charting, and interpretation together. What tends to help students most is slowing down on how Excel reads a formula before worrying about memorizing syntax, and that is usually where I focus early in a session.
R

R

I have used R extensively throughout my graduate training and consulting work, applying it to tasks ranging from data cleaning and exploratory analysis to statistical modeling and publication-ready visualization. My experience includes working with core tidyverse packages such as dplyr, tidyr, and ggplot2, as well as packages for statistical testing, regression modeling, and reproducible reporting in R Markdown. I have tutored students in R across a range of disciplines including psychology, business analytics, and the social sciences, helping them move from no coding background to confidently running and interpreting their own analyses. In sessions, I focus on building real understanding of the code rather than copying and pasting solutions, so students can adapt what they learn to new datasets and assignments.
SPSS

SPSS

I have used SPSS as a primary analysis tool in research and consulting contexts, running procedures ranging from descriptive statistics and crosstabs to regression, ANOVA, factor analysis, and reliability testing on datasets drawn from survey research, psychology studies, and program evaluations. My familiarity with SPSS extends beyond point-and-click navigation to working with syntax files, which allows me to build reproducible analysis workflows and helps students understand what the software is actually doing behind each output table. A large portion of the students I work with in SPSS come from psychology and social science programs where SPSS is the department standard, and many of them are working through thesis or dissertation analyses that require careful attention to assumptions, output interpretation, and APA-style reporting of results. I focus sessions on helping students read and explain their output confidently, since most SPSS confusion I encounter is not about running the test but about making sense of what the tables are telling them.
Statistics

Statistics

I completed my PhD in Statistics at Stanford, where my training covered mathematical statistics, probability theory, linear models, and Bayesian inference at a level that goes well beyond what most applied courses require, and that depth is something I draw on directly when helping students who are struggling to understand why a method works rather than just how to run it. My consulting work has involved designing sampling frameworks, running inferential analyses on behavioral and operational datasets, and communicating results to non-statistician audiences, which has sharpened my ability to explain statistical reasoning clearly across different contexts. I have tutored statistics students in psychology, economics, public health, and business programs, covering courses that range from introductory descriptive statistics all the way through graduate-level regression, ANOVA, and multivariate methods. A pattern I see often is students who can follow a procedure but freeze when the problem is presented differently, so I tend to focus sessions on building the kind of flexible understanding that holds up across assignments and exams.
Tableau

Tableau

I have worked with Tableau across multiple educational and consulting projects, building dashboards that track KPIs, visualize survey results, and surface trends in operational and behavioral datasets. My experience includes working with Tableau's calculated fields, level of detail expressions, parameter controls, and dual-axis charts to create layered, interactive visuals for non-technical audiences. I frequently use Tableau alongside R, cleaning and reshaping datasets in R before connecting them to Tableau for visualization, which gives me a strong understanding of how data structure affects what you can build. In sessions with students, I cover the full Tableau workflow including connecting to data sources, building and formatting charts, using filters and actions, and organizing views into publishable dashboards.
William A.'s Photo

Questions? Contact William before you book.

Still have questions?

Contact William
Response time: 2 minutes
Hourly Rate: $50
Response time: 2 minutes
Contact William