Welcome to the Course
Fundamentals of Data Analysis
This course is an introduction to data analytics from a non-technical perspective.
If you’ve made it here, chances are you’ve faced a problem that many others encounter when trying to break into the field: most courses focus almost entirely on tools. You’re handed a checklist — learn SQL, Python, a BI tool — and told that this is how you become a data analyst.
These tools are great. In fact, they’re essential. We use them every day as analysts.
But here’s the problem: tools alone won’t make you an analyst.
If I teach you how to hit a nail with a hammer, you won’t become a carpenter.
Being a great analyst is not just about knowing how to use SQL or draw charts. It’s about solving real business problems — and that takes thinking, not just doing. It requires judgment, structure, and the ability to translate messy business questions into clear, actionable insights.
The Goal of This Course
The goal of this course is to give junior analysts the knowledge they actually need to solve real business problems — from core business fundamentals, to the concepts analysts rely on daily, to the practical challenges you’ll face in the job.
What This Course Is — and What It Isn’t
This course is:
- A practical guide to how analysts think, work, and communicate
- Focused on business context, problem-solving, and decision-making
- Grounded in real challenges analysts face inside tech companies
- Built to give you the mindset, models, and frameworks that drive business impact
This course isn’t:
- A technical walkthrough of SQL, Python, or BI tools
- A coding tutorial or dashboard-building guide
- A theoretical or academic lecture — it’s applied, practical, and built for real-world roles
If you’re already learning the tools, this course will help you use them strategically — to solve problems, drive impact, and think like an analyst.
Who This Course Is For
This course is for anyone who wants to become a better, more valuable data analyst.
It’s especially useful if:
- You’re an aspiring analyst trying to understand what the job really involves
- You’re a junior analyst who knows the tools but wants to level up your impact
- You’re switching careers from a non-technical background
- You’ve taken SQL or Python courses but still aren’t sure how analysts use data to solve business problems
If you’re applying for — or looking to grow in — roles like:
This course is built for you.
If you’ve ever asked yourself, “Okay, I know how to write a query — but what do I do with it?”
This course is for you.
How to Navigate the Course
The course is divided into three parts. Each builds on the last to give you the mindset, business context, and communication skills every high-impact analyst needs:
Part 1: Business Fundamentals Every Analyst Needs
Learn how companies work, how they make money, and why understanding customers matters just as much as writing code.
Part 2: Business Concepts That Power Your Analysis
Get practical mental models like the 80/20 rule, customer segmentation, and user journeys — so you can focus your analysis where it actually drives value.
Part 3: Making Your Work Matter
Learn how to design meaningful metrics, uncover insights with EDA, and communicate your findings in a way that influences real decisions.
This course is designed to build your thinking step-by-step — from understanding the business, to structuring your analysis, to making sure your work has real impact.
Tips for Getting the Most Out of This Course
- Go in order — each part builds on the previous one
- Read actively, not passively — pause, reflect, and apply
- Track your progress as you go (if supported)
This isn’t a course you binge through. It’s one you think through.
What’s Next
We’ll start by looking at what really makes a great data analyst — not just tools or techniques, but the mindset and business awareness that separates good analysts from great ones.
Let’s dive in.