Skip to content
Open Fraud LabsAcademy

Practical data skills, one lesson at a time.

Short video lessons built on real code and real data. Practise in your browser, build a portfolio, and earn a certificate anyone can verify.

Browse courses See inside a lesson
Lessons and project parts
39
Hours of video
6.6
Coding exercises
117

Inside every lesson

The same four steps every time. Each one unlocks the next, so finishing a lesson means you really did the work.

  1. Watch

    A 10-minute video with worked examples in Python, explained line by line.

  2. Mean or median?
    MeasureOutliers?
    MeanPulled a lot
    MedianBarely moves

    Read

    Study notes with the code, key terms and common mistakes, ready to revisit.

  3. median_income = income.median()
    Correct! Well done.

    Practise

    Three coding exercises that run in your browser. Nothing to install.

  4. Which average suits skewed incomes?The meanThe medianThe range

    Quiz

    A short quiz to check you understood. Score 70% to complete the lesson.

Finish with a portfolio, not just a certificate

Three guided projects in different industries: the kind of problems working data scientists are asked to solve. Each one is peer reviewed against a published rubric.

Finance

Credit risk

Which loan applications are likely to default, and where should a lender set its approval cut-off?

You deliver a default model, a costed approval policy and a write-up.

Health

Clinic no-shows

Who is likely to miss an appointment, and which patients should get a reminder call?

You deliver a risk model and a reminder plan the clinic could run.

Real estate

City rents

What drives rent across a city, and what should a new listing be priced at?

You deliver a price model, error analysis and a valuation tool.

Courses

Start with Data Science from Scratch. More tracks open as they're ready.

Open for enrolment

Data Science from Scratch

From “what is data science?” to building and explaining your first models, with examples from retail, health, transport, media and finance.

  • Describe and clean real datasets with confidence
  • Understand the statistics behind everyday analysis
  • Train, evaluate and explain machine learning models
  • Build three portfolio projects in finance, health and real estate
View course and enrol
Format
30 video lessons and 3 portfolio projects
Each lesson
Video, study notes, coding practice, quiz
Level
Beginner, no experience needed
Final step
Peer-reviewed capstone project
Certificate
Yes, with public verification

Coming to the Academy

  • Data AnalysisSpreadsheets, SQL and dashboards that turn raw data into clear business answers.In preparation
  • Data EngineeringPipelines, warehouses and data models: how reliable data reaches analysts and models.In preparation
  • Machine LearningBuild, evaluate and explain models, from regression to gradient boosting.In preparation
  • Financial AnalysisFinancial statements, ratios, forecasting and valuation for better decisions.In preparation
  • Live classesLive sessions with Q&A for the Academy community.In preparation

A certificate that means something

Pass every lesson and project, get your capstone approved by your peers, and claim a certificate with your registered name and a unique ID. Anyone can check it on our verification page, so it holds up on a CV or LinkedIn.

How verification works

Questions

Do I need any experience?

No. Data Science from Scratch starts from zero. You'll see real Python from Lesson 1, explained line by line, and practise it in your browser. There's nothing to install.

How long does a course take?

Plan for about 30 minutes per lesson: a 10-minute video, the study notes, a few practice exercises and the quiz. You can stop and pick up where you left off at any time.

How much does it cost?

Creating an account is free, and every released lesson is open during early access. If parts of a course become paid, the Plans page will show exactly what's included before you pay.

Is the certificate accredited?

It's a certificate of course completion from Open Fraud Labs, not an accredited academic qualification. Each one has a unique ID that anyone can check on our verification page.

How is my data used?

Only to run your account and track your learning. Read the Privacy Policy.