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Seaggle Academy

Data & Analytics

Turn raw data into a reliable analytical product.

Prerequisite: Spreadsheet and SQL familiarity, or programming, depending on level

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Fit

Who this suits — and who it does not

An honest answer here saves everyone time. If this is the wrong pathway for you, we would rather say so before you enrol.

This is built for you if

  • You work with data already and want to build the engineering side
  • You can query but have not built a pipeline others depend on
  • You want to move from producing charts to producing trusted data

Consider something else if

  • You are looking for a statistics or machine-learning theory course
  • You have no exposure to querying data at all

Outcomes

What you should be able to demonstrate

Written as capabilities you can show or explain, because that is what an interview actually tests.

  • 01Build a pipeline that handles schema change and can be re-run safely
  • 02Model data so that a metric has one defensible definition
  • 03Write quality tests that catch problems before consumers do
  • 04Present an analysis including its limitations

Curriculum

The themes the pathway moves through

Sequenced in the order the work requires them. The week-by-week breakdown is confirmed with the program details before you enrol.

  • 01

    Sources and ingestion

    Getting data in reliably and repeatably

  • 02

    Modelling

    Structuring data for the questions it must answer

  • 03

    Quality and testing

    Freshness, volume, and correctness checks

  • 04

    Metric definition

    Agreeing and documenting what a number means

  • 05

    Presentation

    Dashboards built around decisions, not around charts

  • 06

    Operation

    What to do when the nightly run fails

Project

What you build, and what you leave with

The project is the point. It is the thing you will be asked about in an interview.

Representative project

Pipeline, model, dashboard, and insight narrative

Take messy source data through ingestion, modelling, and quality testing to a dashboard — and be able to explain what the numbers mean, what they exclude, and where you would not trust them.

Representative example

Representative example. This illustrates how Seaggle approaches the work; it is not a verified client or learner result.

Before you enrol

The details we confirm with you directly

These vary by cohort. Rather than publish figures that may change, we confirm them in writing before you commit anything.

  • Learning format

    Confirmed with you before enrolment

  • Duration

    Confirmed with you before enrolment

  • Weekly commitment

    Confirmed with you before enrolment

  • Next cohort

    Confirmed with you before enrolment

  • Price and payment terms

    Confirmed with you before enrolment

  • Mentor

    Confirmed with you before enrolment

Please note

Completing or purchasing an Academy program does not guarantee employment, an interview, a placement, an employer introduction, a salary, or a timeline.

Completing or purchasing an Academy program does not automatically qualify a person for the Talent Network. Talent Network eligibility requires a separate, independent role-aligned assessment.

Get in touch

Ask about the Data & Analytics pathway

Tell us where you are technically and what you are aiming at. An advisor will confirm whether this pathway fits before anything else.

What happens next

  1. 1. We confirm we have received your inquiry.
  2. 2. An advisor reviews whether this pathway suits your current level and goal.
  3. 3. We arrange a short conversation, including a check against the prerequisite.
  4. 4. You receive the confirmed format, schedule, and price before any commitment.
Read the Academy FAQ first