Intermediate14 hrsEnglish + हिन्दीComing soon

Python Visualization

Prerequisites: Python Data Analysis

  • Turn data into clear charts and interactive dashboards with Python.
Modules
5
Lessons
18
Duration
14 hrs

This track’s lessons are still being written.

Module roadmap

1

Chart Design Principles

2 lessons · 24 min
Choosing the right chart for the questionSoon
Colour, labels and removing clutterSoon
2

Matplotlib

4 lessons · 63 min
Figure and Axes — how matplotlib thinksSoon
Line, bar, scatter and histogramSoon
Subplots, styling and annotationsSoon
Export charts for reports and social postsSoon
3

Seaborn for Statistical Charts

4 lessons · 63 min
Seaborn basics with pandas DataFramesSoon
Distributions: histplot, boxplot, violinSoon
Relationships, correlation heatmaps, pairplotSoon
Small multiples with FacetGridSoon
4

Interactive Charts with Plotly

4 lessons · 61 min
Plotly Express quick chartsSoon
Hover, zoom, drill-down and animationSoon
Maps: state-wise India choroplethSoon
Share charts as HTMLSoon
5

Dashboards & Projects

4 lessons · 110 min
Build a dashboard app with StreamlitSoon
Filters, widgets and KPI cardsSoon
Deploy and share your dashboardSoon
Project: interactive sales dashboardSoon
Python Visualization | ExcelWalaa