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    Intermediate

    Data Visualization & Storytelling with Python

    This one-day course teaches you how to create compelling data visualizations with Python. You'll master Matplotlib, Seaborn, and Plotly, learn design principles for effective charts, and discover how to tell stories with data. Includes hands-on exercises with real-world datasets.

    4 Modules
    16 Lessons
    1 Tag
    Data Visualization & Storytelling with Python – 1 Tag Python course at apigenio

    Skills You'll Learn

    Matplotlib & Seaborn
    Plotly & Plotly Express
    Pandas DataFrames for visualization
    Chart selection & design
    Data storytelling techniques
    Interactive dashboard creation

    Course Modules & Lessons

    1

    Matplotlib & Seaborn Fundamentals

    Plot types, customization, styling, color palettes, and publication-ready charts

    2h
    Matplotlib Grundlagen

    Figure, Axes, Subplots und grundlegende Plots erstellen

    25min
    Diagramme anpassen

    Labels, Titel, Legenden, Farben und Styling

    20min
    Seaborn für statistische Plots

    Boxplots, Violinplots, Heatmaps und Pairplots

    25min
    Publikationsreife Charts

    Farbpaletten, Schriften und Export in hoher Auflösung

    20min
    2

    Interactive Visualizations with Plotly

    Interactive plots, animations, 3D charts, and Plotly Express for rapid prototyping

    2h
    Plotly Express Schnelleinstieg

    Interaktive Charts in einer Zeile Code

    20min
    Plotly Graph Objects

    Volle Kontrolle über Traces, Layouts und Animationen

    25min
    3D-Visualisierungen

    3D Scatter, Surface Plots und Kamerasteuerung

    20min
    Animierte Charts

    Zeitreihen animieren und interaktive Slider

    20min
    3

    Data Storytelling Principles

    Chart selection framework, annotation techniques, color theory, and narrative structure

    2h
    Das richtige Diagramm wählen

    Entscheidungsframework: Welcher Chart für welche Frage?

    25min
    Annotationen & Callouts

    Wichtige Datenpunkte hervorheben und beschriften

    20min
    Farbtheorie für Daten

    Sequenzielle, divergierende und kategorische Farbskalen

    20min
    Narrative Struktur

    Datengeschichten aufbauen: Setup, Konflikt, Auflösung

    20min
    4

    Dashboard Creation

    Building interactive dashboards with Plotly Dash, layout design, and callbacks

    2h
    Plotly Dash Grundlagen

    App-Struktur, Layout-Komponenten und erste Dash-App

    25min
    Callbacks & Interaktivität

    Input/Output-Callbacks und State-Management

    25min
    Layout & Design

    Bootstrap-Komponenten, Tabs und responsive Layouts

    20min
    Dashboard deployen

    Render, Railway oder Heroku für Dash-Apps

    15min

    Prerequisites

    • Basic Python knowledge
    • Familiarity with Pandas

    Ready to start?

    Join thousands of students already learning.

    Your Trainer

    David Pinezich

    David Pinezich

    Experienced IT architect and trainer specializing in Python, Cloud Architecture, and Enterprise Solutions. Certified TOGAF, CISSP, and AWS professional with years of hands-on training experience.

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