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AI & Data · Core · ~9 hours

Data Visualisation

Data Visualisation is a core skill in AI & Data. Choose and design clear charts that reveal patterns, comparisons, trends, and outliers without misleading readers. In a FUTEAC roadmap it takes about 9 hours of focused learning, and the free Roadmap Generator places it in the right week of your personal plan, after its prerequisites, at the pace you choose.

What you will be able to do

Choose and design clear charts that reveal patterns, comparisons, trends, and outliers without misleading readers.

Learn these first

  • Data Cleaning

    Find and fix missing values, duplicates, inconsistent labels, invalid entries, and formatting problems in datasets.

Roadmaps that teach Data Visualisation

  • Python + AI/ML Beginner roadmap — 18 weeks at about 2 hours a day

    Goal of this roadmap: Learn Python from zero and take your first steps into AI and machine learning.

  • Data Analyst roadmap — 16 weeks at about 2 hours a day

    Goal of this roadmap: Turn raw data into decisions with spreadsheets, SQL, Python and dashboards.

What you can learn next

Data Visualisation is a prerequisite for these skills — learning it unlocks them in your roadmap:

  • Dashboards

    Build focused dashboards that combine key measures, filters, and charts for ongoing decisions.

  • Data Storytelling

    Turn analysis into a concise narrative with a clear finding, supporting evidence, and a recommended action.

Related skills in AI & Data

  • Python Programming

    Write clear Python programs using variables, conditionals, loops, functions, and basic debugging techniques.

  • Problem Solving

    Break a problem into inputs, steps, and outputs, then test and improve a logical solution.

  • Python Data Structures

    Choose and manipulate lists, dictionaries, sets, and tuples to organise and process data effectively.

  • Object-Oriented Python

    Model data and behaviour with classes, objects, methods, and simple inheritance in Python.

  • Files & APIs in Python

    Read and write common file formats and retrieve structured data from web APIs in Python.

  • Statistics Basics

    Summarise data with averages, spread, distributions, correlation, and clear statistical comparisons.

Data Visualisation — common questions

How long does it take to learn Data Visualisation?

About 9 hours of focused learning. Data Visualisation is a core skill, and in a FUTEAC roadmap it is placed in the right week for your goal and pace — after everything it depends on, never before.

What should I learn before Data Visualisation?

Learn Data Cleaning first. Data Visualisation builds directly on that skill, so the order matters: with the prerequisites in place, Data Visualisation is noticeably easier and faster to pick up.

What can I learn after Data Visualisation?

Data Visualisation unlocks Dashboards, Data Storytelling. Those skills list Data Visualisation as a prerequisite, which is why FUTEAC roadmaps schedule them after it.

Which roadmaps include Data Visualisation?

Data Visualisation is part of the Python + AI/ML Beginner, Data Analyst roadmaps. Each roadmap orders it at the point where it is needed for that goal, surrounded by the skills it connects to.

See Data Visualisation in your personal roadmap

The free generator orders this skill with everything around it, skips what you already know, and fits the plan to your hours.