FreeWorkbook
Data Visualization71 tasks · 2 phases + final challenge
Matplotlib & Seaborn Practice Workbook
Practise Matplotlib and Seaborn on a realistic e-commerce dataset, from first plots to dashboards.
Free
At a glance
- Exercises
- 98 tasks · 2 phases + final challenge
- Level
- Fundamentals → interview-style
- Format
- ZIP — Jupyter notebook and Python file
- Included
- Jupyter notebook (it generates the TechNova employee dataset), practice_system.py (hints and solutions) and a setup README
- Software
- Python 3.10+, SciPy, statsmodels and Jupyter
About this workbook
Learn statistics by doing it on TechNova Global, a synthetic HR dataset of 2,500 employees with a skewed salary column, outliers, missing survey answers, and a mix of real and non-significant relationships.
A learning phase covers descriptive statistics, probability, Bayes' theorem, sampling and hypothesis testing step by step. A testing phase makes you choose the right method yourself — with interview questions, debugging tasks and judgment calls — and a final take-home style challenge asks whether the company's remote-work policy is working. Hints and worked solutions are on request.
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