Data Tools · Module 3
Visualisation5 lessons and their Study toolkit.
Watch each lesson, answer its quiz, then do its practice. After the last lesson: the module quiz, the project, and the interview questions.
5of 5 lessons ready
30quiz questions
0key terms
3self-checking notebooks
The lessonsin the order to take them.
5 lessons ready to study
- 3.1Why Matplotlib and seabornSay why we draw data, what matplotlib and seaborn are and how one sits on the other, what they are used for, and what this module covers and leaves to other tracks. Open
- 3.2Meet MatplotlibDraw the first plot, label it, and choose between a line and a scatter. Open
- 3.3Matplotlib FundamentalsUnderstand the figure–axes model and draw the four basic plots. Open
- 3.4Several Plots and Readable ChartsPut several charts on one figure, and make one a reader can not misread. Open
- 3.5The Same Plots with seabornDraw the basic plots in one call each from a DataFrame, and see what seaborn does by default. Open
Module quiz10 questions across it all.
Take it after the last lesson. Your first pick on each question is the one that counts.
Practicebuild it without a template.
Stated as a problem, with no step-by-step instructions. Working out the steps is the point.
Notebooksthat check your answers.
Open them in Google Colab. Each answer is checked as you go: correct, wrong with the expected value, or not answered yet.
- Matplotlib basicsLessons 3.1 and 3.2 and 3.3 Courses plan
- Readable charts and seabornLessons 3.4 and 3.5 Courses plan
- Shop data reportThe module project, with checks Courses plan
Common mistakesacross the whole module.
What you see when it goes wrong, why it happens, and the fix.
Referencefor revising and for interviews.
The cheat sheet is one page of the module’s terms, rules and gotchas. The interview questions come with model answers.