The Six Phases of the Data Analysis Process#

🌱 Foundations 🔄 The Analysis Process & Data Life Cycle Lesson 005

Important

✨ AI-generated content. This page was written with the assistance of an AI language model and is provided as a learning aid. Despite careful review, it may still contain mistakes, omissions, or out-of-date information. Whether you are new to the topic, a team lead, or a senior practitioner, treat it as a starting point rather than an authoritative reference: read it critically and independently verify anything you act on (code, commands, figures, and factual claims) against official documentation and primary sources before relying on it.

A map for every project#

Every analysis in this course — and most you will do professionally — follows the same six-phase path: Ask, Prepare, Process, Analyze, Share, Act. The phases turn a vague request (“figure out why sales dipped”) into a sequence of concrete, manageable steps, which is the essence of structured thinking.

The six phases#

Ask. Define the problem and the question. Who are the stakeholders, what decision hinges on the answer, and what would a useful answer look like? You cannot solve a problem you have not stated.
Prepare. Decide what data can answer the question, then find or collect it — identifying sources, checking credibility, and organising it for use.
Process. Clean the data: remove duplicates and errors, handle missing values, fix inconsistencies, and document every change. Clean data is the foundation everything after stands on.
Analyze. Organise, aggregate, and compute until the pattern that answers the question is visible — the sorting, formatting, pivoting, and querying of the analysis section.
Share. Communicate the finding to the people who asked, with visuals and narrative matched to the audience.
Act. Put the insight to work: recommendations, decisions, changes — and the feedback from acting becomes input for the next Ask.

A worked thread#

A bike-share company wants more annual members. Ask: how do casual riders and members use the service differently? Prepare: twelve months of trip records. Process: remove test rides and corrupted rows, standardise timestamps. Analyze: compare ride length and day-of-week patterns by rider type. Share: a short deck showing casual riders concentrate on long weekend rides. Act: marketing targets weekend riders with a membership offer. One question, six phases, a decision at the end — this exact case structure recurs in published walkthroughs of the framework.

Not a straight line#

The phases are a map, not a railway. Real projects loop: analysis exposes a data problem that sends you back to Process; sharing raises a follow-up that restarts Ask. The map’s value is knowing where you are and what the current phase owes the next one — not forbidding movement between them.

This course, in phase order#

The course sections mirror the phases: asking and deciding (Section 2), preparing data (Section 3), processing and cleaning (Section 4), analysing (Sections 5 and 7), and sharing (Section 6). Keep the six-phase map in mind and every technique that follows has an obvious home.

Hint