Mini Project
Data Science
Personal Finance Analytics
Statement parsing, auto-categorisation and spend forecasting
- Python
- Pandas
- Prophet
- Streamlit
- +2
₹2,299₹3,999
4.5/198 reviews
Data Science · Mini Project
COVID-19 Vaccination Data Analysis
Explores vaccination progress by country, vaccine and population
1-2 weeks build
Overview
An exploratory analysis of the public Our World in Data vaccination dataset: doses over time, per-capita coverage, vaccine mix by country and rollout speed. The notebook documents every cleaning step, and a Streamlit dashboard turns the findings into interactive maps and comparison charts.
What makes it stand up
- 01Public Our World in Data vaccination and manufacturer datasets
- 02Documented handling of gaps and cumulative-count corrections
- 03Per-capita normalisation for fair country comparisons
- 04Choropleth maps, rollout curves and vaccine-mix charts
- 05Interactive Streamlit dashboard with country filters
Module breakdown
- 01
Data cleaning
Merging, gap filling and aggregate-row removal.
- 02
Exploration
Summary statistics and trend analysis by region.
- 03
Visualisation
Plotly maps, line charts and stacked bars.
- 04
Insights
Written findings on rollout speed and coverage gaps.
- 05
Dashboard
Streamlit app with filters and downloadable charts.
After this, you will be able to
- Explain why per-capita figures change the country rankings
- Defend your cleaning decisions on incomplete records
- Demo the dashboard answering an examiner's question live
Technology stack
- Python
- Pandas
- Plotly
- Jupyter
- Streamlit
- Level
- Mini Project
- Domain
- Data Science
- Build time
- 1-2 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support