Learn data & AI — free.

Practical one-page cheat sheets and plain-language guides for teams going through digital transformation. Free to read, print and share. Written in English; Bahasa Melayu and 中文 on request.

JY

JY

Founder, JYnapse · AI / ML Engineer · MSc Data Science

JY holds a Master’s in Data Science and builds production data pipelines, dashboards and grounded AI systems for Malaysian businesses — then teaches teams to run them, in plain language and on their own examples.

This Knowledge Base is the same material used in JYnapse workshops, made free to read. Everything here is available in English, Bahasa Melayu and 中文 on request.

Ten one-page references

The tools our clients reach for most, distilled to a single printable page each. Open, read, or save as PDF — no sign-up.

SQL

Query any database

SELECT, joins, aggregation, window functions and the performance tips that matter.

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Python

The language, essential

Types, collections, loops, functions and comprehensions on one page. Python 3.

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pandas

Wrangle data in Python

Load, clean, filter, group, merge and reshape DataFrames.

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Excel

The SME workhorse

Lookups, IF logic, SUMIFS, pivot tables and the shortcuts worth memorising.

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Data Visualization

Charts that communicate

Pick the right chart, then build it in matplotlib, seaborn or Plotly.

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Statistics

Read numbers with care

Distributions, confidence intervals, hypothesis tests and the traps that catch everyone.

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Power BI & DAX

Dashboards people trust

Power Query, star-schema modelling, measures, CALCULATE and time intelligence.

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Machine Learning

The scikit-learn workflow

Frame, split, train, evaluate — and the metrics that tell you if it works.

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Prompt Engineering

Reliable output from LLMs

Prompt anatomy, few-shot examples, structured output and grounding.

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AI Agents

RAG, agents & MCP

Retrieval, the agent loop, tools, orchestration, guardrails — and which build to choose.

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In-depth guides

Longer reads for when a decision needs the whole picture — written for business owners, not engineers.

Automation or AI? It isn’t a choice

The distinction that decides what you build

Where automation ends, where AI earns its cost, and why almost every workflow needs both — in that order.

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Three builds, not one

RAG vs automation vs agents

“Build us an AI assistant” hides three projects that cost wildly different amounts. How to tell them apart.

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Not training. Retrieval.

What a document assistant really is

Why “train it on our documents” almost always means retrieval — cheaper, updatable, and able to cite its sources.

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想让团队一起学?

Every cheat sheet and guide here can become a live workshop — on your own data, in the language your team works in.

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