ABOUT GRAD DATA COACH

Meet Your Data Analysis Coach

Get practical data analysis help from an experienced coach who has supported PhD and Master's students with coursework, dissertations, theses, and capstone projects for over 7 years.

Joseph Mburu
7+Years coaching graduate researchers

YOUR DATA ANALYSIS COACH

Joseph Mburu

Data Analysis & Research Methods Coach

I help Master's and PhD students make sense of their research data and statistical analysis. Sessions focus on your own project so you understand each decision instead of receiving a black-box answer.

Over 7 years of experience coaching PhD and Master's students in data analysis for coursework, dissertations, theses, and capstone projects.

Based in Nairobi, Kenya. Coaching students online worldwide.

My role is to help you understand the reasoning behind the analysis, work through the difficult parts with you, and build the confidence to explain your decisions in your own research.

Work With Me →
7+Years of graduate data analysis coaching
Master's + PhDCoursework, dissertations, theses & capstone projects
1:1Private coaching centered on your own research

ACADEMIC BACKGROUND

Statistics, computing, and data science training behind the coaching.

My academic background combines statistical theory, computing, data science, and modern analytical methods. This helps me connect research questions with both sound statistical reasoning and practical software workflows.

MASTER'S DEGREE

Master's Degree in Data Science and Analytics

Advanced training in data science, analytical methods, modeling, and modern data workflows.

BACHELOR'S DEGREE

Bachelor's Degree in Applied Statistics with Computing

Foundation in applied statistics, statistical computing, quantitative methods, and data analysis.

SOFTWARE & ANALYTICAL WORKFLOWS

Tools I use to help graduate researchers move from questions to defensible results.

The software changes from project to project. The analytical reasoning stays central.

01

SPSS

Statistical analysis, regression & interpretation

02

R

Reproducible analysis & statistical modeling

03

Python

Data analysis, visualization & machine learning

04

Stata

Applied statistical analysis & modeling

05

SAS

Statistical programming & applied analysis

06

Minitab

Applied statistics & quality analysis

07

Jamovi

Accessible statistical analysis & interpretation

08

JASP

Bayesian and classical statistical analysis

09

Excel

Data preparation, summaries & analytical workflows

10

SPSS-AMOS

CFA & structural equation modeling

11

SmartPLS

PLS-SEM & measurement models

THE COACHING APPROACH

Research decisions first. Software second.

A good analysis starts with the research question, design, variables, measurement, and assumptions. The software should implement those decisions, not make them for you.

01

Understand the study

We connect your research questions and hypotheses to the data you actually collected.

02

Make defensible choices

We discuss why a method fits, what assumptions matter, and what alternatives may be appropriate.

03

Build confidence

You leave with clearer reasoning for supervisor meetings, written results, presentations, and the viva or defense.

WHO THIS IS FOR

Graduate researchers who want expert guidance without losing ownership of the research.

Master's students

Get help moving from a research question to a suitable analysis and a clear interpretation.

PhD and doctoral students

Work through more complex analytical decisions, diagnostics, revisions, and defense preparation.

Students responding to supervisor feedback

Translate statistical comments into specific actions and understand why the requested changes matter.

ACADEMIC INTEGRITY

You remain the researcher.

Grad Data Coach is a coaching service. The objective is to strengthen your understanding and help you perform and defend your analysis. You remain responsible for following your university's policies and for the academic work you submit.

Before sharing data, remove unnecessary names, IDs, contact details, or other sensitive participant information.

BRING YOUR RESEARCH QUESTION

We can work through the difficult part together.

Describe the analysis problem, software, or supervisor feedback you are dealing with.