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Intermediate 4h 34min 11 lessons ยท 13 pages
Data Visualization
Turn raw numbers into compelling visual stories using Matplotlib and Seaborn in the browser.
Start ModuleWelcome to Data Visualization ๐
"A picture is worth a thousand words." In data science, this is absolutely true.
Matplotlib is the foundational visualization library. You'll create:
- Line plots for trends
- Scatter plots for relationships
- Histograms and distributions
- Bar charts for comparisons
- Heatmaps for patterns
- And much more!
Why Visualization Matters
- Spot patterns that numbers hide
- Communicate findings to stakeholders
- Detect outliers and anomalies
- Explore data before analysis
Prerequisites
โ Modules 1-2 (Python, NumPy)
Let's create beautiful plots! ๐จ
Curriculum
1
Line Charts & Anatomy of a Plot
Master Matplotlib's figure/axes model and draw beautiful line charts.
Intermediate
2
Bar Charts, Histograms & Scatter Plots
Visualize distributions, comparisons, and correlations.
Intermediate
3
Statistical Plots with Seaborn
Easily visualize distributions and correlations using the Seaborn library.
Advanced
4
Box Plots & Outlier Detection
Identify outliers and understand data spread using Box and Violin plots.
Advanced