Professional Training & Capacity Building

Learn the Skills. Understand the Data. Apply the Knowledge.

I provide practical training in data analytics, statistics, research and analytical software for individuals, researchers, professionals, teams and organizations. My training approach goes beyond teaching software commands. The objective is to help learners understand the complete analytical process:

Problem Data Cleaning Analysis Interpretation Visualization Reporting Decision-Making

Training is available from beginner to advanced level and emphasizes practical application using real-world datasets and research problems.

Training Areas

Stata

Practical Stata training for data management, statistical analysis, research and reporting.

Training may cover:

Stata Interface Do-Files Data Import Data Cleaning Data Management Missing Data Merging & Appending Descriptive Statistics Hypothesis Testing Regression Survey Analysis Panel Data Survival Analysis Visualization Reporting
Real-world datasets may include NHANES, NAMCS, NHAMCS, World Bank Indicators and other appropriate research datasets.
Enquire About Stata Training

Power BI

Learn how to transform raw business data into interactive dashboards, reports and decision-support information.

Training may cover:

Power Query Data Cleaning Data Modelling Relationships DAX KPIs Interactive Dashboards Visualization Business Reporting Publishing & Sharing
Enquire About Power BI Training

Microsoft Excel

Develop practical skills for managing, analyzing and presenting data using Excel.

Training may cover:

Data Cleaning Formulas & Functions Lookup Functions PivotTables Data Analysis Charts Dashboards Power Query Reporting Automation
Enquire About Excel Training

SPSS

Practical statistical analysis using SPSS for research and professional applications.

Training may cover:

Data Entry & Management Variable Coding Data Cleaning Descriptive Statistics Cross-Tabulations Hypothesis Testing Correlation Regression Interpretation Reporting
Enquire About SPSS Training

Python for Data Analytics

Learn how Python can be used for practical data management, analysis, visualization and statistical applications.

Training may cover:

Python Fundamentals Pandas NumPy Data Cleaning Exploratory Data Analysis Visualization Statistical Analysis Automation Introduction to Machine Learning
Enquire About Python Training

R for Data Analysis

Practical training in using R for data management, statistics, visualization and research.

Training may cover:

R Fundamentals Data Import Data Wrangling Statistical Analysis Regression Visualization Research Applications Reproducible Analysis
Enquire About R Training

SQL & BigQuery

Develop practical skills for working with structured databases and large datasets.

Training may cover:

Database Concepts SQL Queries Filtering Joins Aggregation Subqueries Data Extraction Data Transformation Analytical Queries Google BigQuery
Enquire About SQL Training

Tableau

Learn to transform data into interactive visualizations and dashboards for analysis and communication.

Training may cover:

Data Connection Data Preparation Calculated Fields Charts Filters Parameters Dashboards Interactive Reporting Data Storytelling
Enquire About Tableau Training

Statistics & Research Training

Statistics for Data Analysis

For learners who want to understand the statistics behind the software.

Topics may include:

Types of Data Variables Sampling Descriptive Statistics Probability Distributions Confidence Intervals Hypothesis Testing T-tests ANOVA Chi-square Correlation Regression Statistical Interpretation
The focus is on understanding what method to use, when to use it and how to interpret the results.

Research Methods & Data Analysis

Practical training for researchers and professionals undertaking quantitative research.

Training may cover:

Research Questions Study Design Variables Data Sources Sampling Data Collection Data Management Statistical Analysis Plans Statistical Analysis Interpretation Tables & Figures Reporting

Learn With Real-World Data

Move Beyond Classroom Examples

Where appropriate, my training uses established real-world databases so learners gain experience working with the types of data encountered in actual research and professional environments.

Datasets may include:

NHANES

Health & nutrition data

NAMCS

Ambulatory healthcare data

NHAMCS

Hospital ambulatory and emergency care data

World Bank Indicators

Economic and development data

SEER

Cancer surveillance data

TCGA

Cancer genomic and clinical data

CDC WONDER

Population and public-health data

CCHS

Canadian Community Health Survey

MIMIC-IV

Clinical and critical-care data

DHS

Demographic and health survey data

Training emphasizes understanding the complete workflow:

Access Import Understand Clean Manage Analyze Visualize Interpret Report

Training Formats

Choose the Training Approach That Fits Your Needs

One-to-One Training

Personalized training designed around your current level, objectives, preferred analytical tool and learning needs.

Suitable for professionals, researchers and individuals who prefer direct, personalized guidance.

Request One-to-One Training

Group Training

Structured training for groups with similar learning objectives.

Suitable for research teams, professional groups, institutions and organizations.

Request Group Training

Masterclasses & Webinars

Focused live sessions covering specific analytical tools, methods, datasets or research topics.

May include:

Live demonstrations Practical exercises Real datasets Q&A Supporting materials Session recordings where applicable
View Upcoming Training

Organizational Training

Customized capacity-building programmes for businesses, institutions, NGOs, research organizations and professional teams.

Training can be tailored around the organization's:

Data Software Analytical Needs Industry Team Skill Level Reporting Requirements
Request Organizational Training

Learning Levels

Start Where You Are

Beginner

For learners with little or no previous experience.

Focus:

Foundations Software Navigation Data Basics Data Management Basic Analysis
Intermediate

For learners who understand the fundamentals and want to become more independent.

Focus:

Data Cleaning Statistical Analysis Visualization Modelling Interpretation Reporting
Advanced

For experienced users seeking deeper analytical capability.

Focus may include:

Advanced Modelling Survey Analysis Panel Data Survival Analysis Time Series Econometrics Predictive Analytics Advanced Research Applications

Training Philosophy

Don't Just Learn Commands. Learn How to Analyze.

Knowing that a Stata command is regress, knowing how to create a Power BI visual, or knowing how to run a statistical test is only part of becoming an effective analyst.

My training focuses on helping learners answer questions such as:

The objective is to develop independent analytical thinking, not software dependency.

Practical Training Workflow

01

Understand the Problem

Define the research or analytical question.

02

Understand the Data

Explore variables, structure, documentation and data quality.

03

Prepare the Data

Clean, recode, merge, restructure and address missing information appropriately.

04

Analyze

Apply suitable statistical or analytical methods.

05

Interpret

Understand what the results mean in the context of the problem.

06

Communicate

Present findings through tables, visualizations, dashboards and reports.

Training for Organizations

Build Data Capability Within Your Team

Organizations can engage me to develop customized training based on their actual analytical requirements.

Training can be designed for:

Research Teams Analysts Monitoring & Evaluation Teams Healthcare Professionals Business Teams Academic & Research Institutions NGOs Corporate Teams

Programs can focus on a particular software, statistical methodology, dataset, reporting workflow or organizational data challenge.

Request a Custom Training Proposal

Training Resources

Depending on the engagement, learners may receive:

Practical Datasets
Annotated Code / Do-Files
Exercises
Supporting Notes
Templates
Reference Materials
Session Recordings, where applicable
Certificates, where applicable
Watch & Learn

Wilfred The Analyst on YouTube

I also share practical educational content focused on solving real-world research problems using Stata.

Tutorials demonstrate workflows from study conceptualization and research design through data management, statistical analysis, interpretation and reporting, using real-world datasets.

Watch Wilfred The Analyst on YouTube
Need Personalized Training?

Tell Me What You Want to Learn.

Whether you're starting from scratch, upskilling, working on a specific dataset or looking to strengthen your team's analytical capabilities, training can be structured around your objectives.

Request Training Request a Consultation