CDM2002 Data Analytics and Visualisation ยท SIT

The agent drafts. You decide.
Twelve self-guided units.

Each unit is an interactive companion to the three-hour session: a chapter journey, decision pickers, reference cards, a checklist, a fill-in deliverable you keep, a copy-ready prompt library, a quiz, a glossary, and in six units a set of specimen artefacts to critique cold. Your progress saves in your own browser and is never sent anywhere.

12units
6pipeline stages supervised
36specimen artefacts to critique
3Digital Notebook gates supported

Choose a unit

Work them in order, or jump to the one you need. Each takes roughly 45 to 90 minutes end to end, and each has a NotebookLM study companion you can question afterwards.

๐Ÿค–Unit 01

The Agentic Analytics Workplace

The six-stage pipeline, what agents get wrong, silent degradation, and graduated autonomy.

Start โ†’ Ask the notebook โ†—

๐ŸŽฏUnit 02

Directing and Supervising AI Agents

Four prompt patterns, five governance questions, the platform spectrum, and G.R.O.W.T.H.

Start โ†’ Ask the notebook โ†—

๐ŸงฑUnit 03

Data Acquisition, Structure and Tidy Thinking

Acquisition and provenance, the tidy-data rule, data types, the pitfalls that bite, and your capstone launch.

Start โ†’ Ask the notebook โ†—

๐ŸงนUnit 04

Wrangling with an Agent

Missing values, duplicates, category mappings, joins, and the verification checklist.

Start โ†’ Ask the notebook โ†—

๐Ÿ“ŠUnit 05

Descriptive Analytics

Mean against median, spread, skew, segmentation, and the pivot-table check.

Start โ†’ Ask the notebook โ†—

๐Ÿ“ˆUnit 06

Visualisation Principles

The perception hierarchy, five distortions, proportional ink, accessibility and uncertainty.

Start โ†’ Ask the notebook โ†—

๐ŸŽ›๏ธUnit 07

Interactive Dashboards

One question, three charts, one filter, visual hierarchy, and your Gate 2 evidence.

Start โ†’ Ask the notebook โ†—

๐ŸŽฒUnit 08

Statistical Thinking

Correlation and causation, sampling, p-values, A/B logic, Simpson’s paradox.

Start โ†’ Ask the notebook โ†—

๐Ÿ“–Unit 09

Data Storytelling

Audience first, one message, the Pyramid Principle, three structures, framing against distortion.

Start โ†’ Ask the notebook โ†—

๐Ÿ“ฃUnit 10

Web, Social and Campaign Analytics

The four metric families, funnel leaks, CPA and ROAS, traffic quality and attribution.

Start โ†’ Ask the notebook โ†—

โš™๏ธUnit 11

Advanced Agentic Workflows

Chained pipelines, checkpoints, responsible forecasting, governance gates and hard controls.

Start โ†’ Ask the notebook โ†—

๐ŸงญUnit 12

From Insight to Action

The claim ladder, fairness trade-offs, the premortem, overriding the agent, and the rubric.

Start โ†’ Ask the notebook โ†—

How to use these

Each unit follows the same shape: read the journey, use the toolbox on your own data, build the deliverable, then take the knowledge check. The Build section of each unit produces the artefact that unit contributes to your Digital Notebook or orchestration log, and you can copy or export it.

Ask the notebook opens that unit's study companion in NotebookLM: a chat grounded in the unit's slides, facilitator guide, lab worksheet, knowledge check, this app, the refresher deck, the research the unit cites, and the module syllabus, capstone brief and rubrics. Ask it to explain something again, to test you, or to check your reasoning. It will not draft your assessed work, and it answers with citations so you can follow anything back to the source. Each one also holds a briefing document and a study guide.

Progress, checklists and quiz answers are stored locally in your browser only. Clearing site data resets them. Nothing you type is transmitted or collected. NotebookLM is a Google service and sits outside that: what you type into a notebook goes to Google, so treat it as you would any other cloud tool and keep personal data out of it.