Go from spreadsheets to job-ready engineer
Code & Data Lab teaches you Python, JavaScript, APIs, and AI — through real projects you can actually ship — so you can walk into tech roles without a CS degree holding you back.
I built this school for the person who is absolutely capable of doing this work — they just haven't had someone explain it clearly yet.— David Anderson
What you'll learn
What you'll be able to do
- Write Python scripts to automate repetitive tasks and clean messy real-world datasets
- Build interactive data visualizations and dashboards that communicate insights to non-technical stakeholders
- Develop JavaScript-powered web tools and dynamic front-end features from scratch
- Connect to third-party APIs to pull, transform, and display live data in your own projects
- Apply AI and machine-learning libraries (scikit-learn, OpenAI API) to solve practical business problems
- Assemble a portfolio of four end-to-end projects that demonstrate job-ready data and coding skills
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 24 lessons
Python Foundations for Data Work
Builds core Python fluency — syntax, data structures, and file handling — so students can write real scripts immediately.
- 1.1Python Syntax & the Command LineIncluded
- 1.2Control Flow & FunctionsIncluded
- 1.3Working with Files & Real-World DataIncluded
- 1.4Automation Mini-ProjectIncluded
Data Analytics & Visualization
Teaches pandas, statistical thinking, and visualization libraries to turn raw data into clear, stakeholder-ready insights.
- 2.1Data Wrangling with pandasIncluded
- 2.2Exploratory Data AnalysisIncluded
- 2.3Data Visualization with Matplotlib & SeabornIncluded
- 2.4Interactive Dashboards with Plotly & DashIncluded
- 2.5Analytics Capstone ProjectIncluded
JavaScript & Front-End Development
Introduces JavaScript from scratch and teaches students to build dynamic, interactive web pages and tools.
- 3.1JavaScript EssentialsIncluded
- 3.2DOM Manipulation & EventsIncluded
- 3.3Asynchronous JavaScript & FetchIncluded
- 3.4Building a Dynamic Web ToolIncluded
APIs — Connecting to the Live Web
Shows students how to authenticate, query, and transform data from third-party APIs inside both Python and JavaScript projects.
- 4.1How APIs WorkIncluded
- 4.2Consuming APIs with Python (requests)Included
- 4.3Authentication & API KeysIncluded
- 4.4API Integration ProjectIncluded
AI & Machine Learning in Practice
Applies scikit-learn and the OpenAI API to real business problems, bridging data analytics and practical AI deployment.
- 5.1Machine Learning Concepts Without the MathIncluded
- 5.2Predictive Modeling with scikit-learnIncluded
- 5.3Working with the OpenAI APIIncluded
- 5.4Solving a Business Problem with AIIncluded
Portfolio Capstone — Ship Four Projects
Students finalize, document, and present four end-to-end projects that demonstrate every skill learned across the program.
- 6.1Structuring a Job-Ready ProjectIncluded
- 6.2Project Review & Peer FeedbackIncluded
- 6.3Portfolio Presentation & Career PositioningIncluded
Who it's for
Is this you?
The career-switcher
Ready to leave their non-tech role behind, they need a structured, project-driven path to build credible coding skills without going back to school.
The spreadsheet power user
They've maxed out what Excel and Google Sheets can do — now they want to automate their work and build real data tools with Python and pandas.
The self-taught tinkerer
They've dabbled in tutorials but never shipped anything real — this gives them the structure and project outcomes to turn scattered knowledge into a portfolio.
The early-career analyst
Fresh in a data or ops role, they want to stand out by building dashboards and automation scripts their colleagues can't, without waiting years to level up.
The ambitious generalist
A marketer, product manager, or ops professional who wants to collaborate fluently with engineering teams — and build their own tools when the engineers are busy.
The freelancer leveling up
They want to offer higher-value services — data work, API integrations, AI-powered tools — and need the technical depth to deliver and charge for them.
Questions
Frequently asked
Your teacher
A note from your teacher
David Anderson
Hey — I'm glad you found this.
If you're reading this, I'd guess you're somewhere between frustrated and excited. Maybe you're in a role where you can feel the ceiling, and you know that learning to code and work with data is the lever that moves it. Maybe you've watched colleagues get handed more interesting problems because they can write a script or build a dashboard, and you're tired of being on the outside of that. Or maybe you've already tried to teach yourself — worked through a tutorial, copied some Python, got it running once — and then got completely stuck the moment you tried to do something real with it.
That last one is the most common story I hear. And it's not a you problem. It's a curriculum problem. Most resources teach you the language without ever teaching you how to think like someone who builds things. They show you syntax. They don't show you what to do when your data is messy, your API key isn't working, and your dashboard is rendering blank. Code & Data Lab is built to close that gap.
Here's what I designed this school to do: take you from "I know Excel and I'm not afraid to Google things" to someone who can automate tasks with Python, build interactive visualizations, wire up a front-end with JavaScript, pull live data from APIs, and apply AI tools to real business problems — with a portfolio of four shipped projects to prove it. Not in theory. Actually done, pushed to GitHub, ready to show.
I won't talk down to you. I won't bury you in jargon. I will introduce precise technical vocabulary — because you need the right words to search for answers, communicate with engineers, and land roles — but we build to it together. When something is confusing, I'll reach for an analogy before I reach for a definition. When you finish something hard, we'll call it out, because those small wins compound into big ones.
The tech industry is genuinely hungry for people who can bridge data and code, and you don't need a computer science degree to be one of them. You need the right projects, the right skills, and the confidence that comes from having built real things. That's what this school is for. Come build something.
— David Anderson
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- 6 modules, 24 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed