Data Analysis Training Program

We're starting something different here. This isn't about memorizing SQL commands or racing through Python tutorials. It's about understanding data the way analysts actually work—messy spreadsheets, unclear requirements, real business problems.

Our autumn 2025 cohort focuses on practical analysis skills. You'll work with actual datasets from Taiwan businesses, learn to ask better questions, and present findings that people can actually use. And maybe more importantly—you'll understand when an analysis is done versus when you're just procrastinating with prettier charts.

How We Teach Data Analysis

Most programs dump tools on you. We start with the thinking part. Because honestly? The hardest thing about data analysis isn't coding—it's figuring out what question you're trying to answer.

Problem-First Learning

Each week starts with a real business scenario. You'll spend time understanding context before touching data. This mirrors how analysis actually happens—someone comes to you with a vague concern, and your job is translating that into something measurable.

Tool Selection Strategy

We teach Excel, SQL, and Python—but more importantly, when to use which one. Sometimes a pivot table beats a machine learning model. Understanding trade-offs between speed, accuracy, and stakeholder comprehension matters more than technical sophistication.

Communication Emphasis

Half your time goes to presenting findings. Data people often struggle here, so we practice constantly. You'll learn to explain technical choices to non-technical audiences without sounding condescending. It's harder than it sounds.

Students working on data analysis projects in collaborative workspace

What You'll Actually Learn

Six months broken into practical modules. Each builds on previous work, but they're designed around tasks you'll encounter in actual analyst roles—not academic exercises.

Module 1

Data Fundamentals

Understanding data types, quality issues, and basic statistics. We cover what makes data "clean enough" versus perfect—because perfection is expensive and sometimes unnecessary.

Module 2

Excel Deep Dive

Advanced formulas, pivot tables, and when spreadsheets are the right answer. Most businesses run on Excel—knowing its limits and strengths makes you immediately useful.

Module 3

SQL Essentials

Extracting data from databases, writing efficient queries, and understanding when query optimization matters. You'll work with Taiwan retail datasets throughout this module.

Module 4

Python for Analysis

Pandas, data manipulation, and basic automation. Focus is on reproducible analysis workflows—documenting what you did so future you doesn't hate past you.

Module 5

Visualization Principles

Creating charts that communicate rather than confuse. We spend time on color choices, chart types, and the psychology of visual perception. Bad charts can kill good analysis.

Module 6

Capstone Project

Month-long project with real data from Taoyuan businesses. You'll present findings to actual stakeholders who ask uncomfortable questions. Best preparation for interviews.

Upcoming Program Schedule

Start Date September 15, 2025
Duration 24 Weeks
Class Format Evening Sessions
Location Taoyuan District

Classes meet twice weekly, 7:00-9:30 PM. We also offer Saturday workshops once monthly for deeper dives into complex topics. Space is limited to 16 students per cohort to maintain quality feedback.

Who's Teaching This

Our instructors come from analytics roles in Taiwan tech companies and financial services. They still do client work, which means they're teaching current practices—not what worked five years ago. Expect practical war stories alongside technical instruction.

Instructor Petra Kowalski teaching data visualization concepts

Petra Kowalski

Lead Data Analyst

Eight years analyzing e-commerce patterns. Specializes in making marketing teams understand statistical significance. Patient with beginners.

Instructor Mira Jovanovic reviewing student SQL queries

Mira Jovanovic

Database Specialist

Former financial analyst who moved into data engineering. Teaches SQL optimization and knows every way queries can go wrong in production.

Instructor Sanne De Vries working with students on Python projects

Sanne De Vries

Python Developer

Builds data pipelines for logistics companies. Passionate about clean code and reproducible workflows. Will judge your variable naming choices.

Instructor Isla Morrison presenting data findings to business stakeholders

Isla Morrison

Business Intelligence Lead

Spent years translating between technical teams and executives. Focuses on presentation skills and stakeholder management. Brutally honest feedback on clarity.